A QR Code-Based Real-Time Auditing System for Safe Online Data Storage
Keywords:
Auditing System, Safe Online, Data Storage, Cloud storage, Data Security, Android Studio
Abstract
Up until now, auditing systems have only had a web module; these modules are complicated and not user-friendly. Protecting sensitive data stored in the cloud requires the time-consuming and laborious procedure of encrypting all of the files. To verify a user's identification in the current system, the client must input biometric data. Next, in order to safeguard the user's identity and privacy, a signature key will be validated. One major problem with biometric data is that there are a lot of circumstances that might cause it to vary, so it can't always be matched precisely. An auditing and data storage app built for the cloud is the focus of this paper. The reference ID that the client creates is used to remotely store the financial audit data in the cloud. Using a QR code scanner, this reference ID that was generated for the client is immediately transformed into a QR code. You can access the required documents by downloading them and then opening them in a dedicated app. In the event that the client's internal storage becomes corrupted or lost, this file can be restored from the cloud.
References
1. H. Dewan and R. C. Hansdah, “A survey of cloud storage facilities,” in 2011 IEEE World Congress on Services, 2011.
2. Y. Zhu, G.-J. Ahn, H. Hu, S. S. Yau, G. Ho, and C.-J. An, “Dynamic audit services for integrity verification of outsourced storages in clouds”,” IEEE Transactions on Services Computing, vol.6, no. 2, pp. 1550–1557, 2013.
3. Y. Wang, Q. Wu, B. Qin, W. Shi, R. H. Deng, and J. Hu, “Identity-based data outsourcing with comprehensive auditing in clouds”,” IEEE Transactions on Information Forensics and Security, vol.12, no. 4, pp. 940–952, 2017.
4. H. Wang, D. He, and S. Tang, “Identity-based proxy-oriented data uploading and remote data integrity checking in public cloud,” IEEE Trans. Inf. Forensics Secur., vol. 11, no. 6, pp. 1165–1176, 2016.
5. J. Yu, K. Ren, and C. Wang, “Enabling cloud storage auditing with verifiable outsourcing of key updates,” IEEE Trans. Inf. Forensics Secur., vol. 11, no. 6, pp. 1362–1375, 2016.
6. H. Shacham and B. Waters, “Compact Proofs of Retrievability,” in Advances in Cryptology - ASIACRYPT 2008, Berlin, Heidelberg: Springer Berlin Heidelberg, 2008, pp. 90–107.
7. A. Sahai and B. Waters, “Fuzzy identity-based encryption,” in Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2005, pp. 457–473.
8. S. H. L. Kanickam, L. Jayasimman, and A. N. Jebaseeli, “A survey on layer wise issues and challenges in cloud security,” in 2017 World Congress on Computing and Communication Technologies (WCCCT), 2017.
9. C. Wang, Q. Wang, K. Ren, and W. Lou, “Privacy-preserving public auditing for data storage security in cloud computing,” in 2010 Proceedings IEEE INFOCOM, 2010.
10. Venkatasubramanian, S., and R. Mohankumar. "DDoS Attack Detection in WSN Using Modified BGRU With MFO Model." Advanced Applications of Generative AI and Natural Language Processing Models, edited by Ahmed J. Obaid, et al., IGI Global, 2024, pp. 286-305.
11. S.Venkatasubramanian, "A Machine Learning Based Health Analytics in the Cloud Environment", Journal For Basic Sciences, Vol. 23, Issue. 12, , pp. 497-508, DEC 2023
12. T. Chen, J. Blasco, J. Alzubi, and O. Alzubi “Intrusion Detection”. IET Publishing, vol. 1, no. 1, pp. 1-9, 2014.
13. J. A. Alzubi, R. Jain, O. Alzubi, A. Thareja, and Y. Upadhyay, “Distracted driver detection using compressed energy efficient convolutional neural network,” J. Intell. Fuzzy Syst., vol. 42, no. 2, pp. 1253–1265, 2022.
14. J. A. Alzubi, O. A. Alzubi, M. Beseiso, A. K. Budati, and K. Shankar, “Optimal multiple key‐based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis,” Expert Syst., vol. 39, no. 4, 2022.
15. S. Abukharis, J. A. Alzubi, O. A. Alzubi, S. Alamri, and T. O. Tim O\’Farrell, “Packet error rate performance of IEEE802.11g under Bluetooth interface,” Res. J. Appl. Sci. Eng. Technol., vol. 8, no. 12, pp. 1419–1423, 2014.
16. O. A. Alzubi, I. Qiqieh, and J. A. Alzubi, “Fusion of deep learning based cyberattack detection and classification model for intelligent systems,” Cluster Comput., vol. 26, no. 2, pp. 1363–1374, 2023.
17. A. Jafar, O. A. Alzubi, G. Alzubi, and D. Suseendran, “+ A Novel Chaotic Map Encryption Methodology for Image Cryptography and Secret Communication with Steganography,” International Journal of Recent Technology and Engineering, vol. 8, no. IC2, 2019.
18. S. Samadi, M. R. Khosravi, J. A. Alzubi, O. A. Alzubi, and V. G. Menon, “Optimum range of angle tracking radars: a theoretical computing,” Int. J. Electr. Comput. Eng. (IJECE), vol. 9, no. 3, p. 1765, 2019.
19. N. Al-Najdawi, S. Tedmori, O. A. Alzubi, O. Dorgham, and J. A. Alzubi, “A Frequency Based Hierarchical Fast Search Block Matching Algorithm for Fast Video Video Communications,” International Journal of Advanced Computer Science and Applications, vol. 7, no. 4, 2016.
20. Sholiyi A., O’Farrell T., Alzubi O., and Alzubi J., “Performance Evaluation of Turbo Codes in High Speed Downlink Packet Access Using EXIT Charts”, International Journal of Future Generation Communication and Networking, Vol. 10, No. 8, August 2017.
21. J. A. Alzubi, O. A. Alzubi, A. Singh, and T. Mahmod Alzubi, “A blockchain‐enabled security management framework for mobile edge computing,” Int. J. Netw. Manage., vol. 33, no. 5, 2023.
22. S.venkatasubramanian, “Green IoT Edge Computing Towards Sustainable and Distributed Data Processing”, International Journal of Research Publication and Reviews, Vol 4, no 9, pp 431-436 September 2023.
23. Venkatasubramanian, S., and R. Mohankumar. "DDoS Attack Detection in WSN Using Modified BGRU With MFO Model." Advanced Applications of Generative AI and Natural Language Processing Models, edited by Ahmed J. Obaid, et al., IGI Global, 2024, pp. 286-305.
24. Venkatasubramanian Srinivasan, et al. “Detection of Data Imbalance in MANET Network Based on ADSY-AEAMBi-LSTM with DBO Feature Selection.” Journal of Autonomous Intelligence, vol. 7, no. 4, 2024.
25. Syed Omar Ballari, Dr. Ranjith A, Kalaimathi. D, Mr. Tanveer Ahmad, C. Venkata Siva Rama Prasad (2023). Experimental Investigations on Electric Arc Furnace Slag Concrete. Corrosion and Protection, 51(2).
26. Srikanth, S., Ballari, S. O., & Eswar, S. (2022). Framework for freight movement in Bangalore city, India. In IOP Conference Series: Earth and Environmental Science (Vol. 1084, No. 1, p. 012033). IOP Publishing.
27. H. P. Josyula, L. Thamma Reddi, S. Parate, and A. Rajagopal, “A Review on Security and Privacy Considerations in Programmable Payments,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 9S, pp. 256–263, 2023.
28. V. S. Settibathini, S. K. Kothuru, A. K. Vadlamudi, L. Thammreddi, and S. Rangineni, “Strategic Analysis Review of Data Analytics with the Help of Artificial Intelligence,” International Journal of Advances in Engineering Research, vol. 26, pp. 1–10, 2023.
29. K. Patel, “Revolutionizing Consumer Data Analysis: The Development and Impact of a Unique Customer Identifier,” International Journal of Computer Trends and Technology, vol. 71, no. 12, pp. 61–74, 2023.
30. V. S. Kumar, A. K. Vadlamudi, S. Rangineni, and L. Thammareddi, “Analysis of Data Engineering: Solving Data preparation tasks with Chatgpt to finish data preparation,” Journal of Engineering Technologies and Innovative Research, no. 9, 2023.
31. K. Patel, “Bridging Data Gaps in Finance: The Role of Non-Participant Models in Enhancing Market Understanding,” International Journal of Computer Trends and Technology, vol. 71, no. 12, pp. 75–88, 2023.
32. K. Patel, “Ethical Reflections on Data-Centric AI: Balancing Benefits and Risks,” International Journal of Artificial Intelligence Research and Development, vol. 2, no. 1, pp. 1–17, 2024.
33. K. Patel, “Big Data in Finance: An Architectural Overview,” International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 61–68, 2023.
34. Khan, S., & Alfaifi, A. (2020). Modeling of Coronavirus Behavior to Predict It’s Spread. International Journal of Advanced Computer Science Applications, 11(5), 394-399.
35. Alfaifi, A. A., & Khan, S. G. (2022). Utilizing Data from Twitter to Explore the UX of “Madrasati” as a Saudi e-Learning Platform Compelled by the Pandemic. Arab Gulf Journal of Scientific Research, 39(3), 200-208.
36. AlAjmi, M. F., Khan, S., & Sharma, A. (2013). Studying Data Mining and Data Warehousing with Different E-Learning System. International Journal of Advanced Computer Science and Applications, 4(1), 144-147.
37. Khan, S., & Altayar, M. (2021). Industrial internet of things: Investigation of the applications, issues, and challenges. International Journal of Advanced Applied Sciences, 8(1), 104-113.
38. Khan, S. (2020). Artificial Intelligence Virtual Assistants (Chatbots) are Innovative Investigators. International Journal of Computer Science Network Security, 20(2), 93-98.
39. AlAjmi, M., & Khan, S. (2015). Part of Ajax And Openajax In Cutting Edge Rich Application Advancement For E-Learning. Paper presented at the INTED2015 Proceedings.
40. Khan, S., Moorthy, G. K., Vijayaraj, T., Alzubaidi, L. H., Barno, A., & Vijayan, V. (2023). Computational Intelligence for Solving Complex Optimization Problems. Paper presented at the E3S Web of Conferences.
41. Khan, S., Alqahtani, S., & Applications. (2023). Hybrid machine learning models to detect signs of depression. J Multimedia Tools, 1-19.
42. Rao, M. S., Modi, S., Singh, R., Prasanna, K. L., Khan, S., & Ushapriya, C. (2023). Integration of Cloud Computing, IoT, and Big Data for the Development of a Novel Smart Agriculture Model. Paper presented at the 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).
43. Khan, S., Fazil, M., Imoize, A. L., Alabduallah, B. I., Albahlal, B. M., Alajlan, S. A., . . . Siddiqui, T. (2023). Transformer Architecture-Based Transfer Learning for Politeness Prediction in Conversation. Sustainability, 15(14), 10828.
44. Margiana, R., Alsaikhan, F., Al-Awsi, G. R. L., Patra, I., Sivaraman, R., Fadhil, A. A., ... & Hosseini-Fard, S. (2022). Functions and therapeutic interventions of non-coding RNAs associated with TLR signaling pathway in atherosclerosis. Cellular Signalling, 100, 110471.
45. Arif, A., Alameri, A. A., Tariq, U. B., Ansari, S. A., Sakr, H. I., Qasim, M. T., ... & Karampoor, S. (2023). The functions and molecular mechanisms of Tribbles homolog 3 (TRIB3) implicated in the pathophysiology of cancer. International Immunopharmacology, 114, 109581.
46. Lei, Z., Alwan, M., Alamir, H. T. A., Alkaaby, H. H. C., Farhan, S. S., Awadh, S. A., ... & Nekuei, A. (2022). Detection of abemaciclib, an anti-breast cancer agent, using a new electrochemical DNA biosensor. Frontiers in Chemistry, 10, 980162.
47. Bashar, B. S., Kareem, H. A., Hasan, Y. M., Ahmad, N., Alshehri, A. M., Al-Majdi, K., ... & Qasim, M. T. (2022). Application of novel Fe3O4/Zn-metal organic framework magnetic nanostructures as an antimicrobial agent and magnetic nanocatalyst in the synthesis of heterocyclic compounds. Frontiers in Chemistry, 10, 1014731.
48. M Abbas, M., W Abooud, K., Qasim Mohammed, A., Hasan Al-Zubaidi, S., Hussain, A., M Hameed, N., ... & Ahmad Batayneh, K. (2022). Effects of various irrigation levels and biochar-based fertilizers on peanut production. Journal of Nuts, 13(4), 289-300.
49. Hussein, H. A., Khudair, S. A., Alwan, M., Aljawahiry, T., T Qasim, M., & V Pavlova, I. (2022). Impact of pollution caused by salmon breeding centers on river water quality. Caspian Journal of Environmental Sciences, 20(5), 1039-1045.
50. Lafta, H. A., AbdulHussein, A. H., Al-Shalah, S. A., Alnassar, Y. S., Mohammed, N. M., Akram, S. M., ... & Najafi, M. (2023). Tumor-Associated Macrophages (TAMs) in Cancer Resistance; Modula-tion by Natural Products. Current topics in medicinal chemistry.
51. Al-Jassani, M. J., Sayah, M. A., Qasim, M. T., Kadhim, A. J., & Muhammad, E. H. (2022). Isolation and Evaluation of Antibacterial Agents Produced by Soil Bacillus SP. and Study Some of their Immunological Parameters. Revista Electronica de Veterinaria, 23(4), 105-111.
52. Sane, S., Mahoori, A., Abdulabbas, H. S., Alshahrani, S. H., Qasim, M. T., Abosaooda, M., ... & Darvishzadehdaledari, S. (2023). Investigating the effect of pregabalin on postoperative pain in non-emergency craniotomy. Clinical Neurology and Neurosurgery, 226, 107599.
53. Al Anazi, A. A., Barboza-Arenas, L. A., Romero-Parra, R. M., Sivaraman, R., Qasim, M. T., Al-Khafaji, S. H., ... & Gono, R. (2023). Investigation and Evaluation of the Hybrid System of Energy Storage for Renewable Energies. Energies, 16(5), NA-NA.
54. Hjazi, A., Nasir, F., Noor, R., Alsalamy, A., Zabibah, R. S., Romero-Parra, R. M., ... & Akram, S. V. (2023). The pathological role of CXC chemokine receptor type 4 (CXCR4) in colorectal cancer (CRC) progression; special focus on molecular mechanisms and possible therapeutics. Pathology-Research and Practice, 154616.
55. Althomali, R. H., Al-Hawary, S. I. S., Gehlot, A., Qasim, M. T., Abdullaeva, B., Sapaev, I. B., ... & Alsalamy, A. (2023). A novel Pt-free counter electrode based on MoSe2 for cost effective dye-sensitized solar cells (DSSCs): Effect of Ni doping. Journal of Physics and Chemistry of Solids, 182, 111597.
56. Hjazi, A., Ahsan, M., Alghamdi, M. I., Kareem, A. K., Al-Saidi, D. N., Qasim, M. T., ... & Mirzaei, R. (2023). Unraveling the Impact of 27-Hydroxycholesterol in Autoimmune Diseases: Exploring Promising Therapeutic Approaches. Pathology-Research and Practice, 154737.
57. Gupta, J., Suliman, M., Ali, R., Margiana, R., Hjazi, A., Alsaab, H. O., ... & Ahmed, M. (2023). Double-edged sword role of miRNA-633 and miRNA-181 in human cancers. Pathology-Research and Practice, 154701.
58. Al-Hawary, S. I. S., Kadhum, W. R., Saleh, E. A. M., Yacin, Y., Abdullah, E. A., Qasim, M. T., ... & Alsalamy, A. (2023). Tunneling induced swapping of orbital angular momentum in a quantum dot molecule. Laser Physics, 33(9), 096001.
59. Gaffar Sarwar Zaman, Ibrahem Waleed, Ruaa Ali Obeid, Shaymaa Abdulhameed Khudair, Saafa Abaas Abd Al-Kahdum, Kadhum Al-Majdi, Ahmed S. Abed, Ali Alsalamy, Maytham T. Qasim, Ahmed Hussien Radie Alawadi. (2023). Electrochemical determination of zearalenone in agricultural food samples using a flower like nanocomposite-modified electrode, Materials Chemistry and Physics,Volume 305,127986. ISSN 0254-0584.
60. Al-dolaimy, F., Kzar, M.H., Hussein, S.A. et al. (2023). Incorporating of Cobalt into UiO-67 Metal–Organic Framework for Catalysis CO2 Transformations: An Efficient Bi-functional Approach for CO2 Insertion and Photocatalytic Reduction. J Inorg Organomet Polym.
61. Muzammil Khursheed, Kzar Mazin Hadi, Mohammed Faraj, et al. (2023). Methanol extract of Iraqi Kurdistan Region Daphne mucronata as a potent source of antioxidant, antimicrobial, and anticancer agents for the synthesis of novel and bioactive polyvinylpyrrolidone nanofibers. Frontiers in Chemistry. Vol.1, 2296-2646.
62. Batool, Kiran; Zhao, Zhen-Yu; Irfan, Muhammad; Żywiołek, Justyna (2023): Assessing the role of sustainable strategies in alleviating energy poverty: an environmental sustainability paradigm. w: Environmental science and pollution research international 30 (25), s. 67109–67130.
63. Nayyar, Anand; Żywiołek, Justyna; Rosak Szyrocka, Joanna; Naved, Mohd (2023): Advances in distance learning in times of pandemic. First edition. Boca Raton, FL: Chapman & Hall/CRC Press.
64. Zywiolek, Justyna; Matulewski, Marek; Santos, Gilberto (2023): The Kano Model As A Tool For Assessing The Quality Of Hunting Tourism - A Case From Poland. w: IJQR 17 (3), s. 1097–1112.
65. Żywiołek, Justyna (2018): Monitoring of information security system elements in the metallurgical enterprises. w: MATEC Web Conf. 183, s. 1007.
66. Żywiołek, Justyna (2019): Personal data protection as an element of management security of information. w: Multidisciplinary Aspects of Production Engineering 2 (1), s. 515–522.
67. Żywiołek, Justyna; Schiavone, Francesco: The Value of data sets in Information and Knowledge Management as a Threat to Information Security, Garcia-Perez, Alexeis; Simkin, Lyndon (red.), w: European Conference on Knowledge Management, s. 882–891, dostępne na stronie internetowej: https://tinyurl.com/ECKM21.
68. Żywiołek, Justyna; Schiavone, Francesco (2021): Perception of the Quality of Smart City Solutions as a Sense of Residents’ Safety. w: Energies 14 (17), s. 5511.
69. Tak, A. (2023). Succeeding Against the Odds: Project Management in Complex IT Scenarios. Journal of Technology and Systems, 5(2), 41–49.
70. Tak, A. (2023). Artificial Intelligence and Machine Learning in Diagnostics and Treatment Planning. Journal of Artificial Intelligence & Cloud Computing, 2(1), 1-6.
71. Tak, A. (2022). The Role of Artificial Intelligence in US Healthcare Information. International Journal of Science and Research, 11(12), 1302-1308.
72. Tak, A. (2022). Advanced AI Applications in Gaming with Cloud-Powered Media and Entertainment Experiences. Journal of Artificial Intelligence & Cloud Computing, 1(1), 1-4.
73. Tak, A. (2021). Comprehensive Study of AI-Driven Market Forecasting Models and Their Applicability. International Journal of Science and Research, 10(2), 1705-1709.
74. Ananda Shankar Hati, and T. K. Chatterjee, "Symmetrical component filter based online condition monitoring instrumentation system for mine winder motor" Measurement (Elsevier), vol. 82, pp. 284-300, 2016.
75. Prashant Kumar and Ananda Shankar Hati "Review on Machine Learning Algorithm Based Fault Detection in Induction Motors," Archives of Computational Methods in Engineering, vol: 28, pp: 1929-1940, 2021.
76. Kumar Prashant and Hati, Ananda Shankar "Convolutional Neural Network with batch normalization for fault detection in SCIM," IET Electric Power Application, vol: 15, issue: 1, pp. 39-50, 2021.
77. Kumar Prashant and Hati, Ananda Shankar "Deep Convolutional Neural Network based on adaptive gradient optimizer for fault detection in SCIM," ISA Transactions, vol: 111, pp: 350-359, 2021.
78. Prince, Hati Ananda Shankar, Chakrabarti Prasun, Abawajy Jemal Hussein and Ng Wee Keong "Development of Energy Efficient Drive for Ventilation System using Recurrent Neural Network," Neural Computing and Applications, Vol. 33, no. 14, pp. 8659-8668, 2021.
79. Sinha Ashish Kumar, Hati Ananda Shankar, Benbouzid Mohamed and Chakrabarti Prasun "ANN-based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation" Machines (2021), vol: 9(5).
80. Prince and Hati Ananda Shankar "A Comprehensive Review of Energy-Efficiency of Ventilation System using Artificial Intelligence" Renewable and Sustainable Energy Reviews (2021), vol: 146, 2021.
81. Kumar Prashant and Hati, Ananda Shankar "Transfer Learning Based Deep CNN Model for Multiple Faults Detection in SCIM" Neural Computing and Applications (2021).
82. Prince and Hati Ananda Shankar "Temperature and Humidity Dependent MRAS Based Speed Estimation Technique for Induction Motor used in Mine Ventilation Drive" Journal of Mining Science, 2021, Vol. 57, No. 5, pp. 842–851.
83. Kumar Prashant and Hati, Ananda Shankar "Dilated Convolutional Neural Network Based Model For Bearing Faults and Broken Rotor Bar Detection in Squirrel Cage Induction Motors" Expert Systems With Applications (2022).
84. Prince and Hati Ananda Shankar "Convolutional Neural Network-Long Short Term Memory Optimization for Accurate Prediction of Airflow in a Ventilation System" Expert Systems with Applications (2022).
85. Vatsa Aniket and Hati Ananda Shankar "Depolarization Current Prediction of Transformers OPI System Affected From Detrapped Charge Using LSTM," in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-11, 2022, Art no. 2511711.
86. Gorai Rahul, Hati Ananda Shankar, and Maity Tanmoy, "A new cascaded multilevel converter topology with a reduced number of components" 3rd IEEE 2017 Conference on International conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI-2017), 21-22 September 2017 | IEEE, Chennai, India., pp. 539-543.
87. Kumar Prashant, Hati, Ananda Shankar, Sanjeevikumar Padmanaban, Leonowicz Zbigniew and Prasun Chakrabarti "Amalgamation of Transfer Learning and Deep Convolutional Neural Network for Multiple Fault Detection in SCIM" 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), 9th-12th June 2020, Madrid, Spain.
88. Sinha Ashish Kumar, Kumar Prashant, Prince and Hati, Ananda Shankar, "ANN Based Fault Detection Scheme for Bearing Condition Monitoring in SRIMs using FFT, DWT and Band-pass Filters" 2020 International Conference on Power, Instrumentation, Control, and Computing (PICC) 2020 IEEE.
89. Prince Kumar and Hati, Ananda Shankar, "Sensor-less Speed Control of Ventilation System Using Extended Kalman Filter For High Performance," 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2021, pp. 1-6.
90. Kumar Prashant and Hati, Ananda Shankar "Support Vector Classifiers based broken rotor bar detection in Squirrel cage induction motor" Machines, Mechanisms and Robotics, Springer, Singapore, 429-438.
91. Hati, Ananda Shankar, and Chatterjee, T. K., "Some studies on condition monitoring techniques for online condition monitoring and fault diagnosis of mine winder motor", International Journal of Engineering Science and Technology (IJEST), vol. 4, no. 08, pp. 3785-3793, August 2012.
92. Hati, Ananda Shankar, and Chatterjee, T. K., "Axial leakage flux-based online condition monitoring instrumentation system for mine winder motor" Journal of Mines, Metals & Fuels, vol. 63, no. 5&6, pp. 132-140, May-June 2015.
93. Hati, Ananda Shankar, and Chatterjee, T. K., "Current monitoring Instrumentation system for detecting airgap eccentricity in mine winder motor", International Journal of Applied Engineering Research, vol. 10, no. 22, pp. 43000-43007, 2015.
94. Hati, Ananda Shankar, "Vibration monitoring instrumentation system for detecting airgap eccentricity in mine winder motor" Journal of Mine Metals and Fuels, vol. 64, no. 5&6, pp. 240-248, May-June 2016.
95. H. Lakhani, D. Undaviya, H. Dave, S. Degadwala, and D. Vyas, “PET-MRI Sequence Fusion using Convolution Neural Network,” in 2023 International Conference on Inventive Computation Technologies (ICICT), 2023, pp. 317–321.
96. F. Ahamad, D. K. Lobiyal, S. Degadwala, and D. Vyas, “Inspecting and Finding Faults in Railway Tracks Using Wireless Sensor Networks,” in 2023 International Conference on Inventive Computation Technologies (ICICT), 2023, pp. 1241–1245.
97. D. Rathod, K. Patel, A. J. Goswami, S. Degadwala, and D. Vyas, “Exploring Drug Sentiment Analysis with Machine Learning Techniques,” in 2023 International Conference on Inventive Computation Technologies (ICICT), 2023, pp. 9–12.
98. C. H. Patel, D. Undaviya, H. Dave, S. Degadwala, and D. Vyas, “EfficientNetB0 for Brain Stroke Classification on Computed Tomography Scan,” in 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023, pp. 713–718.
99. V. Desai, S. Degadwala, and D. Vyas, “Multi-Categories Vehicle Detection For Urban Traffic Management,” in 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), 2023, pp. 1486–1490.
100. D. Vyas and V. V Kapadia, “Evaluation of Adversarial Attacks and Detection on Transfer Learning Model,” in 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), 2023, pp. 1116–1124.
101. D. D. Pandya, S. K. Patel, A. H. Qureshi, A. J. Goswami, S. Degadwala, and D. Vyas, “Multi-Class Classification of Vector Borne Diseases using Convolution Neural Network,” in 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023, pp. 1–8.
102. D. D. Pandya, A. K. Patel, J. M. Purohit, M. N. Bhuptani, S. Degadwala, and D. Vyas, “Forecasting Number of Indian Startups using Supervised Learning Regression Models,” in 2023 International Conference on Inventive Computation Technologies (ICICT), 2023, pp. 948–952.
103. S. Degadwala, D. Vyas, D. D. Pandya, and H. Dave, “Multi-Class Pneumonia Classification Using Transfer Deep Learning Methods,” in 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2023, pp. 559–563.
104. D. D. Pandya, A. Jadeja, S. Degadwala, and D. Vyas, “Diagnostic Criteria for Depression based on Both Static and Dynamic Visual Features,” in 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), 2023, pp. 635–639.
105. H. Gupta, D. Patel, A. Makade, K. Gupta, O. P. Vyas, and A. Puliafito, “Risk Prediction in the Life Insurance Industry Using Federated Learning Approach,” in 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022, pp. 948–953.
106. S. Dave, S. Degadwala, and D. Vyas, “DDoS Detection at Fog Layer in Internet of Things,” in 2022 International Conference on Edge Computing and Applications (ICECAA), 2022, pp. 610–617.
107. D. D. Pandya, A. Jadeja, S. Degadwala, and D. Vyas, “Ensemble Learning based Enzyme Family Classification using n-gram Feature,” in 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), 2022, pp. 1386–1392.
108. V. B. Gadhavi, S. Degadwala, and D. Vyas, “Transfer Learning Approach For Recognizing Natural Disasters Video,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 793–798.
109. J. Mahale, S. Degadwala, and D. Vyas, “Crop Prediction System based on Soil and Weather Characteristics,” in 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 2022, pp. 340–345.
110. M. Shah, S. Degadwala, and D. Vyas, “Diet Recommendation System based on Different Machine Learners: A Review,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 290–295.
111. B. Trivedi, S. Degadwala, and D. Vyas, “Parallel data stream anonymization methods: A review,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 887–891.
112. D. D. Pandya, N. S. Gupta, A. Jadeja, R. D. Patel, S. Degadwala, and D. Vyas, “Bias Protected Attributes Data Balancing using Map Reduce,” in 2022 6th International Conference on Electronics, Communication and Aerospace Technology, 2022, pp. 1540–1544.
113. R. Baria, S. Degadwala, R. Upadhyay, and D. Vyas, “Theoretical Evaluation of Machine And Deep Learning For Detecting Fake News,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 325–329.
114. P. Bam, S. Degadwala, R. Upadhyay, and D. Vyas, “Spoken Language Recognization Based on Features and Classification Methods: A Review,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 868–873.
115. K. Butchi Raju, P. Kumar Lakineni, K. S. Indrani, G. Mary Swarna Latha and K. Saikumar, "Optimized building of machine learning technique for thyroid monitoring and analysis," 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021, pp. 1-6.
116. P. K. Lakineni, D. J. Reddy, M. Chitra, R. Umapriya, L. V. Kannan and S. R. Barkunan, "Optimal Feature Selection and Classification Using Convolutional Neural Network-Based Plant Disease Prediction," 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India, 2023, pp. 1-6.
117. P. K. Lakineni, S. Kumar, S. Modi, K. Joshi, V. Mareeskannan and J. Lande, "Deepflow: A Software-Defined Measurement System for Deep Learning," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 1217-1221.
118. P. K. Lakineni, R. Singh, B. Mandaloju, S. Singhal, M. D. Bajpai and M. Tiwari, "A Cloud-Based Healthcare Diagnosis Support Network for Smart IoT for Predicting Chronic Kidney Failure," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 1858-1863.
119. P. K. Lakineni, K. M. Nayak, H. Pallathadka, K. Gulati, K. Pandey and P. J. Patel, "Fraud Detection in Credit Card Data using Unsupervised & Supervised Machine Learning-Based Algorithms," 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 2022, pp. 1-4.
120. V. Dankan Gowda, K. Prasad, R. Shekhar, R. Srinivas, K. N. V. Srinivas and P. K. Lakineni, "Development of a Real-time Location Monitoring App with Emergency Alert Features for Android Devices," 2023 4th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2023, pp. 1-8.
121. S. Mandvikar, “Factors to Consider When Selecting a Large Language Model: A Comparative Analysis,” International Journal of Intelligent Automation and Computing, vol. 6, no. 3, pp. 37–40, 2023.
122. S. Mandvikar, “Augmenting intelligent document processing (IDP) workflows with contemporary large language models (LLMs),” International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 80–91, 2023.
123. R. Boina, A. Achanta, and S. Mandvikar, “Integrating data engineering with intelligent process automation for business efficiency,” International Journal of Science and Research, vol. 12, no. 11, pp. 1736–1740, 2023.
124. S. Mandvikar and A. Achanta, “Process automation 2.0 with generative AI framework,” Int. J. Sci. Res. (Raipur), vol. 12, no. 10, pp. 1614–1619, 2023.
125. Mandvikar, S. (2023). Indexing robotic process automation products. International Journal of Computer Trends and Technology, 71(8), 52–56.
126. Tak, A. (2021). Multi-Modal Fusion for Enhanced Image and Speech Recognition in AI Systems. International Journal of Science and Research, 10(6), 1780-1788.
127. Tak, A. (2021). The Data Mining Techniques for Analyzing Employee Performance and Productivity. International Journal of Science and Research, 10(10), 1575-1578.
128. Tak, A. (2022). The Impact of Electronic Health Records on Patient Care in the US Healthcare System. Journal of Health Statistics Reports, 1(2), 1–7.
129. Tak, A. (2022). Big Data Analytics in Healthcare: Transforming Information into Actionable Insights. Journal of Health Statistics Reports, 1(3), 1-6.
130. Tak, A. (2023). The Role of Cloud Computing in Modernizing Healthcare IT Infrastructure. Journal of Artificial Intelligence & Cloud Computing, 2(2), 1–7.
131. Alarood, A. A., Faheem, M., Al‐Khasawneh, M. A., Alzahrani, A. I., & Alshdadi, A. A. (2023). Secure medical image transmission using deep neural network in e‐health applications. Healthcare Technology Letters, 10(4), 87-98.
132. Al-Khasawneh, M. A., Abu-Ulbeh, W., & Khasawneh, A. M. (2020, December). Satellite images encryption Review. In 2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) (pp. 121-125). IEEE.
133. Al-Khasawneh, M. A., Alzahrani, A., & Alarood, A. (2023). Alzheimer’s Disease Diagnosis Using MRI Images. In Data Analysis for Neurodegenerative Disorders (pp. 195-212). Singapore: Springer Nature Singapore.
134. Al-Khasawneh, M. A., Alzahrani, A., & Alarood, A. (2023). An Artificial Intelligence Based Effective Diagnosis of Parkinson Disease Using EEG Signal. In Data Analysis for Neurodegenerative Disorders (pp. 239-251). Singapore: Springer Nature Singapore.
135. Al-Khasawneh, M. A., Faheem, M., Aldhahri, E. A., Alzahrani, A., & Alarood, A. A. (2023). A MapReduce Based Approach for Secure Batch Satellite Image Encryption. IEEE Access.
136. D. K. Srivastava and B. Roychoudhury, “Understanding the factors that influence adoption of privacy protection features in online social networks,” J. Glob. Inf. Technol. Manag., vol. 24, no. 3, pp. 164–182, 2021.
137. D. K. Srivastava and B. Roychoudhury, “Words are important: A textual content based identity resolution scheme across multiple online social networks,” Knowl. Based Syst., vol. 195, no. 105624, p. 105624, 2020.
138. Mahmoud, M., & Al-Khasawneh, M. A. (2020). Greedy intersection-mode routing strategy protocol for vehicular networks. Complexity, 2020, 1-10.
139. Markkandeyan, S., Gupta, S., Narayanan, G. V., Reddy, M. J., Al-Khasawneh, M. A., Ishrat, M., & Kiran, A. (2023). Deep learning based semantic segmentation approach for automatic detection of brain tumor. International Journal of Computers Communications & Control, 18(4).
140. R. Regin, S. S. Rajest, Shynu T, & Steffi. R. (2023). Relationship Between Employee Loyalty and Job Satisfaction in an Organization. European Journal of Life Safety and Stability (2660-9630), 36(12), 54-73.
141. R. Regin, S. Suman Rajest, Shynu T, & Steffi. R. (2023). Planning the Most Effective Itinerary for Tourists through the use of Data Analysis. International Journal of Human Computing Studies, 5(12), 77-92.
142. Rajest, S. S., Regin, R., T, Shynu., & R, Steffi. (2023). Treatment Method for Sewage Water Used in Horticulture. European Journal of Life Safety and Stability, 36(12), 11-27.
143. Regin, R., S. Suman Rajest, Shynu T, and Steffi. R. “Application of Machine Learning to the Detection of Retinal Diseases”. European Journal of Life Safety and Stability, 37(1): 1-23.
144. S. Suman Rajest, R. Regin, Shynu T, & Steffi. R. (2023). An Approach Based on Machine Learning for Conducting Sentiment Analysis on Twitter Data. International Journal of Human Computing Studies, 5(12), 57-76.
145. S. Suman Rajest, R. Regin, Shynu T, & Steffi. R. (2023). Using Voice Guidance, an Intelligent Walking Assistance Mechanism for the Blind. Central Asian Journal of Theoretical and Applied Science, 4(11), 41-63. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/1335
146. S. Suman Rajest, R. Regin, Shynu T, & Steffi. R. (2024). Analysis of Sentimental Bias the Implementation of Supervised Machine Learning Algorithms. International Journal of Innovative Analyses and Emerging Technology, 4(1), 8–33.
147. Shah, S. A. A., Al-Khasawneh, M. A., & Uddin, M. I. (2021, June). Street-crimes Modelled Arms Recognition Technique (SMART): Using VGG. In 2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE) (pp. 38-44). IEEE.
148. Shah, S. A. A., Al-Khasawneh, M. A., & Uddin, M. I. (2021, June). Review of weapon detection techniques within the scope of street-crimes. In 2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE) (pp. 26-37). IEEE.
149. Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2023). Android Application for Remote Control of Personal Computers. International Journal on Orange Technologies, 5(12), 44-58.
150. Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2023). Corporate Governance and Family Involvement as Performance Factors. Spanish Journal of Innovation and Integrity, 25(12), 76-94.
151. Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2023). Region Segmentation and Support Vector Machine for Brain Tumour Stage Analysis, Detection, and Automatic Classification. Central Asian Journal of Medical and Natural Science, 25-43.
152. Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2024). Using a Deep Convolutional Neural Network to Identify Vehicle Driver Activity. International Journal on Orange Technologies, 6(1), 1-19.
153. Steffi. R, Shynu T, S. Suman Rajest, & R. Regin. (2023). A Convolutional Neural Network with a U-Net for Brain Tumor Segmentation and Classification. Central Asian Journal of Medical and Natural Science, 4(6), 1326-1343.
154. Steffi. R, Shynu T, S. Suman Rajest, & R. Regin. (2023). Performance of Employees in Relation to The Effects of Change Management Practices. Central Asian Journal of Innovations on Tourism Management and Finance, 4(12), 1-23.
155. Steffi. R, Shynu T, S. Suman Rajest, & R. Regin. (2024). A Review of the System for Filtering Particulate Matter Affected by Cement Factor. Central Asian Journal of Theoretical and Applied Science, 5(1), 78-93.
156. Sukhni, H. A., Al-Khasawneh, M. A., & Yusoff, F. H. (2021, June). A Systematic Analysis for Botnet Detection using Genetic Algorithm. In 2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE) (pp. 63-66). IEEE.
157. Sundararajan, V., Steffi, R., & Shynu, T. (2023). Data Fusion Strategies for Collaborative Multi-Sensor Systems: Achieving Enhanced Observational Accuracy and Resilience. FMDB Transactions on Sustainable Computing Systems, 1(3), 112–123.
158. Tak, A., & Sundararajan, V. (2023, December 2). Pervasive Technologies and Social Inclusion in Modern Healthcare: Bridging the Digital Divide. FMDB Transactions on Sustainable Health Science Letters, 1(3), 118-129.
159. V. K. Nomula, R. Steffi, and T. Shynu, “Examining the Far-Reaching Consequences of Advancing Trends in Electrical, Electronics, and Communications Technologies in Diverse Sectors,” FMDB Transactions on Sustainable Energy Sequence, vol. 1, no. 1, pp. 27–37, 2023.
2. Y. Zhu, G.-J. Ahn, H. Hu, S. S. Yau, G. Ho, and C.-J. An, “Dynamic audit services for integrity verification of outsourced storages in clouds”,” IEEE Transactions on Services Computing, vol.6, no. 2, pp. 1550–1557, 2013.
3. Y. Wang, Q. Wu, B. Qin, W. Shi, R. H. Deng, and J. Hu, “Identity-based data outsourcing with comprehensive auditing in clouds”,” IEEE Transactions on Information Forensics and Security, vol.12, no. 4, pp. 940–952, 2017.
4. H. Wang, D. He, and S. Tang, “Identity-based proxy-oriented data uploading and remote data integrity checking in public cloud,” IEEE Trans. Inf. Forensics Secur., vol. 11, no. 6, pp. 1165–1176, 2016.
5. J. Yu, K. Ren, and C. Wang, “Enabling cloud storage auditing with verifiable outsourcing of key updates,” IEEE Trans. Inf. Forensics Secur., vol. 11, no. 6, pp. 1362–1375, 2016.
6. H. Shacham and B. Waters, “Compact Proofs of Retrievability,” in Advances in Cryptology - ASIACRYPT 2008, Berlin, Heidelberg: Springer Berlin Heidelberg, 2008, pp. 90–107.
7. A. Sahai and B. Waters, “Fuzzy identity-based encryption,” in Lecture Notes in Computer Science, Berlin, Heidelberg: Springer Berlin Heidelberg, 2005, pp. 457–473.
8. S. H. L. Kanickam, L. Jayasimman, and A. N. Jebaseeli, “A survey on layer wise issues and challenges in cloud security,” in 2017 World Congress on Computing and Communication Technologies (WCCCT), 2017.
9. C. Wang, Q. Wang, K. Ren, and W. Lou, “Privacy-preserving public auditing for data storage security in cloud computing,” in 2010 Proceedings IEEE INFOCOM, 2010.
10. Venkatasubramanian, S., and R. Mohankumar. "DDoS Attack Detection in WSN Using Modified BGRU With MFO Model." Advanced Applications of Generative AI and Natural Language Processing Models, edited by Ahmed J. Obaid, et al., IGI Global, 2024, pp. 286-305.
11. S.Venkatasubramanian, "A Machine Learning Based Health Analytics in the Cloud Environment", Journal For Basic Sciences, Vol. 23, Issue. 12, , pp. 497-508, DEC 2023
12. T. Chen, J. Blasco, J. Alzubi, and O. Alzubi “Intrusion Detection”. IET Publishing, vol. 1, no. 1, pp. 1-9, 2014.
13. J. A. Alzubi, R. Jain, O. Alzubi, A. Thareja, and Y. Upadhyay, “Distracted driver detection using compressed energy efficient convolutional neural network,” J. Intell. Fuzzy Syst., vol. 42, no. 2, pp. 1253–1265, 2022.
14. J. A. Alzubi, O. A. Alzubi, M. Beseiso, A. K. Budati, and K. Shankar, “Optimal multiple key‐based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis,” Expert Syst., vol. 39, no. 4, 2022.
15. S. Abukharis, J. A. Alzubi, O. A. Alzubi, S. Alamri, and T. O. Tim O\’Farrell, “Packet error rate performance of IEEE802.11g under Bluetooth interface,” Res. J. Appl. Sci. Eng. Technol., vol. 8, no. 12, pp. 1419–1423, 2014.
16. O. A. Alzubi, I. Qiqieh, and J. A. Alzubi, “Fusion of deep learning based cyberattack detection and classification model for intelligent systems,” Cluster Comput., vol. 26, no. 2, pp. 1363–1374, 2023.
17. A. Jafar, O. A. Alzubi, G. Alzubi, and D. Suseendran, “+ A Novel Chaotic Map Encryption Methodology for Image Cryptography and Secret Communication with Steganography,” International Journal of Recent Technology and Engineering, vol. 8, no. IC2, 2019.
18. S. Samadi, M. R. Khosravi, J. A. Alzubi, O. A. Alzubi, and V. G. Menon, “Optimum range of angle tracking radars: a theoretical computing,” Int. J. Electr. Comput. Eng. (IJECE), vol. 9, no. 3, p. 1765, 2019.
19. N. Al-Najdawi, S. Tedmori, O. A. Alzubi, O. Dorgham, and J. A. Alzubi, “A Frequency Based Hierarchical Fast Search Block Matching Algorithm for Fast Video Video Communications,” International Journal of Advanced Computer Science and Applications, vol. 7, no. 4, 2016.
20. Sholiyi A., O’Farrell T., Alzubi O., and Alzubi J., “Performance Evaluation of Turbo Codes in High Speed Downlink Packet Access Using EXIT Charts”, International Journal of Future Generation Communication and Networking, Vol. 10, No. 8, August 2017.
21. J. A. Alzubi, O. A. Alzubi, A. Singh, and T. Mahmod Alzubi, “A blockchain‐enabled security management framework for mobile edge computing,” Int. J. Netw. Manage., vol. 33, no. 5, 2023.
22. S.venkatasubramanian, “Green IoT Edge Computing Towards Sustainable and Distributed Data Processing”, International Journal of Research Publication and Reviews, Vol 4, no 9, pp 431-436 September 2023.
23. Venkatasubramanian, S., and R. Mohankumar. "DDoS Attack Detection in WSN Using Modified BGRU With MFO Model." Advanced Applications of Generative AI and Natural Language Processing Models, edited by Ahmed J. Obaid, et al., IGI Global, 2024, pp. 286-305.
24. Venkatasubramanian Srinivasan, et al. “Detection of Data Imbalance in MANET Network Based on ADSY-AEAMBi-LSTM with DBO Feature Selection.” Journal of Autonomous Intelligence, vol. 7, no. 4, 2024.
25. Syed Omar Ballari, Dr. Ranjith A, Kalaimathi. D, Mr. Tanveer Ahmad, C. Venkata Siva Rama Prasad (2023). Experimental Investigations on Electric Arc Furnace Slag Concrete. Corrosion and Protection, 51(2).
26. Srikanth, S., Ballari, S. O., & Eswar, S. (2022). Framework for freight movement in Bangalore city, India. In IOP Conference Series: Earth and Environmental Science (Vol. 1084, No. 1, p. 012033). IOP Publishing.
27. H. P. Josyula, L. Thamma Reddi, S. Parate, and A. Rajagopal, “A Review on Security and Privacy Considerations in Programmable Payments,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 9S, pp. 256–263, 2023.
28. V. S. Settibathini, S. K. Kothuru, A. K. Vadlamudi, L. Thammreddi, and S. Rangineni, “Strategic Analysis Review of Data Analytics with the Help of Artificial Intelligence,” International Journal of Advances in Engineering Research, vol. 26, pp. 1–10, 2023.
29. K. Patel, “Revolutionizing Consumer Data Analysis: The Development and Impact of a Unique Customer Identifier,” International Journal of Computer Trends and Technology, vol. 71, no. 12, pp. 61–74, 2023.
30. V. S. Kumar, A. K. Vadlamudi, S. Rangineni, and L. Thammareddi, “Analysis of Data Engineering: Solving Data preparation tasks with Chatgpt to finish data preparation,” Journal of Engineering Technologies and Innovative Research, no. 9, 2023.
31. K. Patel, “Bridging Data Gaps in Finance: The Role of Non-Participant Models in Enhancing Market Understanding,” International Journal of Computer Trends and Technology, vol. 71, no. 12, pp. 75–88, 2023.
32. K. Patel, “Ethical Reflections on Data-Centric AI: Balancing Benefits and Risks,” International Journal of Artificial Intelligence Research and Development, vol. 2, no. 1, pp. 1–17, 2024.
33. K. Patel, “Big Data in Finance: An Architectural Overview,” International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 61–68, 2023.
34. Khan, S., & Alfaifi, A. (2020). Modeling of Coronavirus Behavior to Predict It’s Spread. International Journal of Advanced Computer Science Applications, 11(5), 394-399.
35. Alfaifi, A. A., & Khan, S. G. (2022). Utilizing Data from Twitter to Explore the UX of “Madrasati” as a Saudi e-Learning Platform Compelled by the Pandemic. Arab Gulf Journal of Scientific Research, 39(3), 200-208.
36. AlAjmi, M. F., Khan, S., & Sharma, A. (2013). Studying Data Mining and Data Warehousing with Different E-Learning System. International Journal of Advanced Computer Science and Applications, 4(1), 144-147.
37. Khan, S., & Altayar, M. (2021). Industrial internet of things: Investigation of the applications, issues, and challenges. International Journal of Advanced Applied Sciences, 8(1), 104-113.
38. Khan, S. (2020). Artificial Intelligence Virtual Assistants (Chatbots) are Innovative Investigators. International Journal of Computer Science Network Security, 20(2), 93-98.
39. AlAjmi, M., & Khan, S. (2015). Part of Ajax And Openajax In Cutting Edge Rich Application Advancement For E-Learning. Paper presented at the INTED2015 Proceedings.
40. Khan, S., Moorthy, G. K., Vijayaraj, T., Alzubaidi, L. H., Barno, A., & Vijayan, V. (2023). Computational Intelligence for Solving Complex Optimization Problems. Paper presented at the E3S Web of Conferences.
41. Khan, S., Alqahtani, S., & Applications. (2023). Hybrid machine learning models to detect signs of depression. J Multimedia Tools, 1-19.
42. Rao, M. S., Modi, S., Singh, R., Prasanna, K. L., Khan, S., & Ushapriya, C. (2023). Integration of Cloud Computing, IoT, and Big Data for the Development of a Novel Smart Agriculture Model. Paper presented at the 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE).
43. Khan, S., Fazil, M., Imoize, A. L., Alabduallah, B. I., Albahlal, B. M., Alajlan, S. A., . . . Siddiqui, T. (2023). Transformer Architecture-Based Transfer Learning for Politeness Prediction in Conversation. Sustainability, 15(14), 10828.
44. Margiana, R., Alsaikhan, F., Al-Awsi, G. R. L., Patra, I., Sivaraman, R., Fadhil, A. A., ... & Hosseini-Fard, S. (2022). Functions and therapeutic interventions of non-coding RNAs associated with TLR signaling pathway in atherosclerosis. Cellular Signalling, 100, 110471.
45. Arif, A., Alameri, A. A., Tariq, U. B., Ansari, S. A., Sakr, H. I., Qasim, M. T., ... & Karampoor, S. (2023). The functions and molecular mechanisms of Tribbles homolog 3 (TRIB3) implicated in the pathophysiology of cancer. International Immunopharmacology, 114, 109581.
46. Lei, Z., Alwan, M., Alamir, H. T. A., Alkaaby, H. H. C., Farhan, S. S., Awadh, S. A., ... & Nekuei, A. (2022). Detection of abemaciclib, an anti-breast cancer agent, using a new electrochemical DNA biosensor. Frontiers in Chemistry, 10, 980162.
47. Bashar, B. S., Kareem, H. A., Hasan, Y. M., Ahmad, N., Alshehri, A. M., Al-Majdi, K., ... & Qasim, M. T. (2022). Application of novel Fe3O4/Zn-metal organic framework magnetic nanostructures as an antimicrobial agent and magnetic nanocatalyst in the synthesis of heterocyclic compounds. Frontiers in Chemistry, 10, 1014731.
48. M Abbas, M., W Abooud, K., Qasim Mohammed, A., Hasan Al-Zubaidi, S., Hussain, A., M Hameed, N., ... & Ahmad Batayneh, K. (2022). Effects of various irrigation levels and biochar-based fertilizers on peanut production. Journal of Nuts, 13(4), 289-300.
49. Hussein, H. A., Khudair, S. A., Alwan, M., Aljawahiry, T., T Qasim, M., & V Pavlova, I. (2022). Impact of pollution caused by salmon breeding centers on river water quality. Caspian Journal of Environmental Sciences, 20(5), 1039-1045.
50. Lafta, H. A., AbdulHussein, A. H., Al-Shalah, S. A., Alnassar, Y. S., Mohammed, N. M., Akram, S. M., ... & Najafi, M. (2023). Tumor-Associated Macrophages (TAMs) in Cancer Resistance; Modula-tion by Natural Products. Current topics in medicinal chemistry.
51. Al-Jassani, M. J., Sayah, M. A., Qasim, M. T., Kadhim, A. J., & Muhammad, E. H. (2022). Isolation and Evaluation of Antibacterial Agents Produced by Soil Bacillus SP. and Study Some of their Immunological Parameters. Revista Electronica de Veterinaria, 23(4), 105-111.
52. Sane, S., Mahoori, A., Abdulabbas, H. S., Alshahrani, S. H., Qasim, M. T., Abosaooda, M., ... & Darvishzadehdaledari, S. (2023). Investigating the effect of pregabalin on postoperative pain in non-emergency craniotomy. Clinical Neurology and Neurosurgery, 226, 107599.
53. Al Anazi, A. A., Barboza-Arenas, L. A., Romero-Parra, R. M., Sivaraman, R., Qasim, M. T., Al-Khafaji, S. H., ... & Gono, R. (2023). Investigation and Evaluation of the Hybrid System of Energy Storage for Renewable Energies. Energies, 16(5), NA-NA.
54. Hjazi, A., Nasir, F., Noor, R., Alsalamy, A., Zabibah, R. S., Romero-Parra, R. M., ... & Akram, S. V. (2023). The pathological role of CXC chemokine receptor type 4 (CXCR4) in colorectal cancer (CRC) progression; special focus on molecular mechanisms and possible therapeutics. Pathology-Research and Practice, 154616.
55. Althomali, R. H., Al-Hawary, S. I. S., Gehlot, A., Qasim, M. T., Abdullaeva, B., Sapaev, I. B., ... & Alsalamy, A. (2023). A novel Pt-free counter electrode based on MoSe2 for cost effective dye-sensitized solar cells (DSSCs): Effect of Ni doping. Journal of Physics and Chemistry of Solids, 182, 111597.
56. Hjazi, A., Ahsan, M., Alghamdi, M. I., Kareem, A. K., Al-Saidi, D. N., Qasim, M. T., ... & Mirzaei, R. (2023). Unraveling the Impact of 27-Hydroxycholesterol in Autoimmune Diseases: Exploring Promising Therapeutic Approaches. Pathology-Research and Practice, 154737.
57. Gupta, J., Suliman, M., Ali, R., Margiana, R., Hjazi, A., Alsaab, H. O., ... & Ahmed, M. (2023). Double-edged sword role of miRNA-633 and miRNA-181 in human cancers. Pathology-Research and Practice, 154701.
58. Al-Hawary, S. I. S., Kadhum, W. R., Saleh, E. A. M., Yacin, Y., Abdullah, E. A., Qasim, M. T., ... & Alsalamy, A. (2023). Tunneling induced swapping of orbital angular momentum in a quantum dot molecule. Laser Physics, 33(9), 096001.
59. Gaffar Sarwar Zaman, Ibrahem Waleed, Ruaa Ali Obeid, Shaymaa Abdulhameed Khudair, Saafa Abaas Abd Al-Kahdum, Kadhum Al-Majdi, Ahmed S. Abed, Ali Alsalamy, Maytham T. Qasim, Ahmed Hussien Radie Alawadi. (2023). Electrochemical determination of zearalenone in agricultural food samples using a flower like nanocomposite-modified electrode, Materials Chemistry and Physics,Volume 305,127986. ISSN 0254-0584.
60. Al-dolaimy, F., Kzar, M.H., Hussein, S.A. et al. (2023). Incorporating of Cobalt into UiO-67 Metal–Organic Framework for Catalysis CO2 Transformations: An Efficient Bi-functional Approach for CO2 Insertion and Photocatalytic Reduction. J Inorg Organomet Polym.
61. Muzammil Khursheed, Kzar Mazin Hadi, Mohammed Faraj, et al. (2023). Methanol extract of Iraqi Kurdistan Region Daphne mucronata as a potent source of antioxidant, antimicrobial, and anticancer agents for the synthesis of novel and bioactive polyvinylpyrrolidone nanofibers. Frontiers in Chemistry. Vol.1, 2296-2646.
62. Batool, Kiran; Zhao, Zhen-Yu; Irfan, Muhammad; Żywiołek, Justyna (2023): Assessing the role of sustainable strategies in alleviating energy poverty: an environmental sustainability paradigm. w: Environmental science and pollution research international 30 (25), s. 67109–67130.
63. Nayyar, Anand; Żywiołek, Justyna; Rosak Szyrocka, Joanna; Naved, Mohd (2023): Advances in distance learning in times of pandemic. First edition. Boca Raton, FL: Chapman & Hall/CRC Press.
64. Zywiolek, Justyna; Matulewski, Marek; Santos, Gilberto (2023): The Kano Model As A Tool For Assessing The Quality Of Hunting Tourism - A Case From Poland. w: IJQR 17 (3), s. 1097–1112.
65. Żywiołek, Justyna (2018): Monitoring of information security system elements in the metallurgical enterprises. w: MATEC Web Conf. 183, s. 1007.
66. Żywiołek, Justyna (2019): Personal data protection as an element of management security of information. w: Multidisciplinary Aspects of Production Engineering 2 (1), s. 515–522.
67. Żywiołek, Justyna; Schiavone, Francesco: The Value of data sets in Information and Knowledge Management as a Threat to Information Security, Garcia-Perez, Alexeis; Simkin, Lyndon (red.), w: European Conference on Knowledge Management, s. 882–891, dostępne na stronie internetowej: https://tinyurl.com/ECKM21.
68. Żywiołek, Justyna; Schiavone, Francesco (2021): Perception of the Quality of Smart City Solutions as a Sense of Residents’ Safety. w: Energies 14 (17), s. 5511.
69. Tak, A. (2023). Succeeding Against the Odds: Project Management in Complex IT Scenarios. Journal of Technology and Systems, 5(2), 41–49.
70. Tak, A. (2023). Artificial Intelligence and Machine Learning in Diagnostics and Treatment Planning. Journal of Artificial Intelligence & Cloud Computing, 2(1), 1-6.
71. Tak, A. (2022). The Role of Artificial Intelligence in US Healthcare Information. International Journal of Science and Research, 11(12), 1302-1308.
72. Tak, A. (2022). Advanced AI Applications in Gaming with Cloud-Powered Media and Entertainment Experiences. Journal of Artificial Intelligence & Cloud Computing, 1(1), 1-4.
73. Tak, A. (2021). Comprehensive Study of AI-Driven Market Forecasting Models and Their Applicability. International Journal of Science and Research, 10(2), 1705-1709.
74. Ananda Shankar Hati, and T. K. Chatterjee, "Symmetrical component filter based online condition monitoring instrumentation system for mine winder motor" Measurement (Elsevier), vol. 82, pp. 284-300, 2016.
75. Prashant Kumar and Ananda Shankar Hati "Review on Machine Learning Algorithm Based Fault Detection in Induction Motors," Archives of Computational Methods in Engineering, vol: 28, pp: 1929-1940, 2021.
76. Kumar Prashant and Hati, Ananda Shankar "Convolutional Neural Network with batch normalization for fault detection in SCIM," IET Electric Power Application, vol: 15, issue: 1, pp. 39-50, 2021.
77. Kumar Prashant and Hati, Ananda Shankar "Deep Convolutional Neural Network based on adaptive gradient optimizer for fault detection in SCIM," ISA Transactions, vol: 111, pp: 350-359, 2021.
78. Prince, Hati Ananda Shankar, Chakrabarti Prasun, Abawajy Jemal Hussein and Ng Wee Keong "Development of Energy Efficient Drive for Ventilation System using Recurrent Neural Network," Neural Computing and Applications, Vol. 33, no. 14, pp. 8659-8668, 2021.
79. Sinha Ashish Kumar, Hati Ananda Shankar, Benbouzid Mohamed and Chakrabarti Prasun "ANN-based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation" Machines (2021), vol: 9(5).
80. Prince and Hati Ananda Shankar "A Comprehensive Review of Energy-Efficiency of Ventilation System using Artificial Intelligence" Renewable and Sustainable Energy Reviews (2021), vol: 146, 2021.
81. Kumar Prashant and Hati, Ananda Shankar "Transfer Learning Based Deep CNN Model for Multiple Faults Detection in SCIM" Neural Computing and Applications (2021).
82. Prince and Hati Ananda Shankar "Temperature and Humidity Dependent MRAS Based Speed Estimation Technique for Induction Motor used in Mine Ventilation Drive" Journal of Mining Science, 2021, Vol. 57, No. 5, pp. 842–851.
83. Kumar Prashant and Hati, Ananda Shankar "Dilated Convolutional Neural Network Based Model For Bearing Faults and Broken Rotor Bar Detection in Squirrel Cage Induction Motors" Expert Systems With Applications (2022).
84. Prince and Hati Ananda Shankar "Convolutional Neural Network-Long Short Term Memory Optimization for Accurate Prediction of Airflow in a Ventilation System" Expert Systems with Applications (2022).
85. Vatsa Aniket and Hati Ananda Shankar "Depolarization Current Prediction of Transformers OPI System Affected From Detrapped Charge Using LSTM," in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-11, 2022, Art no. 2511711.
86. Gorai Rahul, Hati Ananda Shankar, and Maity Tanmoy, "A new cascaded multilevel converter topology with a reduced number of components" 3rd IEEE 2017 Conference on International conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI-2017), 21-22 September 2017 | IEEE, Chennai, India., pp. 539-543.
87. Kumar Prashant, Hati, Ananda Shankar, Sanjeevikumar Padmanaban, Leonowicz Zbigniew and Prasun Chakrabarti "Amalgamation of Transfer Learning and Deep Convolutional Neural Network for Multiple Fault Detection in SCIM" 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), 9th-12th June 2020, Madrid, Spain.
88. Sinha Ashish Kumar, Kumar Prashant, Prince and Hati, Ananda Shankar, "ANN Based Fault Detection Scheme for Bearing Condition Monitoring in SRIMs using FFT, DWT and Band-pass Filters" 2020 International Conference on Power, Instrumentation, Control, and Computing (PICC) 2020 IEEE.
89. Prince Kumar and Hati, Ananda Shankar, "Sensor-less Speed Control of Ventilation System Using Extended Kalman Filter For High Performance," 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2021, pp. 1-6.
90. Kumar Prashant and Hati, Ananda Shankar "Support Vector Classifiers based broken rotor bar detection in Squirrel cage induction motor" Machines, Mechanisms and Robotics, Springer, Singapore, 429-438.
91. Hati, Ananda Shankar, and Chatterjee, T. K., "Some studies on condition monitoring techniques for online condition monitoring and fault diagnosis of mine winder motor", International Journal of Engineering Science and Technology (IJEST), vol. 4, no. 08, pp. 3785-3793, August 2012.
92. Hati, Ananda Shankar, and Chatterjee, T. K., "Axial leakage flux-based online condition monitoring instrumentation system for mine winder motor" Journal of Mines, Metals & Fuels, vol. 63, no. 5&6, pp. 132-140, May-June 2015.
93. Hati, Ananda Shankar, and Chatterjee, T. K., "Current monitoring Instrumentation system for detecting airgap eccentricity in mine winder motor", International Journal of Applied Engineering Research, vol. 10, no. 22, pp. 43000-43007, 2015.
94. Hati, Ananda Shankar, "Vibration monitoring instrumentation system for detecting airgap eccentricity in mine winder motor" Journal of Mine Metals and Fuels, vol. 64, no. 5&6, pp. 240-248, May-June 2016.
95. H. Lakhani, D. Undaviya, H. Dave, S. Degadwala, and D. Vyas, “PET-MRI Sequence Fusion using Convolution Neural Network,” in 2023 International Conference on Inventive Computation Technologies (ICICT), 2023, pp. 317–321.
96. F. Ahamad, D. K. Lobiyal, S. Degadwala, and D. Vyas, “Inspecting and Finding Faults in Railway Tracks Using Wireless Sensor Networks,” in 2023 International Conference on Inventive Computation Technologies (ICICT), 2023, pp. 1241–1245.
97. D. Rathod, K. Patel, A. J. Goswami, S. Degadwala, and D. Vyas, “Exploring Drug Sentiment Analysis with Machine Learning Techniques,” in 2023 International Conference on Inventive Computation Technologies (ICICT), 2023, pp. 9–12.
98. C. H. Patel, D. Undaviya, H. Dave, S. Degadwala, and D. Vyas, “EfficientNetB0 for Brain Stroke Classification on Computed Tomography Scan,” in 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023, pp. 713–718.
99. V. Desai, S. Degadwala, and D. Vyas, “Multi-Categories Vehicle Detection For Urban Traffic Management,” in 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), 2023, pp. 1486–1490.
100. D. Vyas and V. V Kapadia, “Evaluation of Adversarial Attacks and Detection on Transfer Learning Model,” in 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), 2023, pp. 1116–1124.
101. D. D. Pandya, S. K. Patel, A. H. Qureshi, A. J. Goswami, S. Degadwala, and D. Vyas, “Multi-Class Classification of Vector Borne Diseases using Convolution Neural Network,” in 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023, pp. 1–8.
102. D. D. Pandya, A. K. Patel, J. M. Purohit, M. N. Bhuptani, S. Degadwala, and D. Vyas, “Forecasting Number of Indian Startups using Supervised Learning Regression Models,” in 2023 International Conference on Inventive Computation Technologies (ICICT), 2023, pp. 948–952.
103. S. Degadwala, D. Vyas, D. D. Pandya, and H. Dave, “Multi-Class Pneumonia Classification Using Transfer Deep Learning Methods,” in 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2023, pp. 559–563.
104. D. D. Pandya, A. Jadeja, S. Degadwala, and D. Vyas, “Diagnostic Criteria for Depression based on Both Static and Dynamic Visual Features,” in 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), 2023, pp. 635–639.
105. H. Gupta, D. Patel, A. Makade, K. Gupta, O. P. Vyas, and A. Puliafito, “Risk Prediction in the Life Insurance Industry Using Federated Learning Approach,” in 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022, pp. 948–953.
106. S. Dave, S. Degadwala, and D. Vyas, “DDoS Detection at Fog Layer in Internet of Things,” in 2022 International Conference on Edge Computing and Applications (ICECAA), 2022, pp. 610–617.
107. D. D. Pandya, A. Jadeja, S. Degadwala, and D. Vyas, “Ensemble Learning based Enzyme Family Classification using n-gram Feature,” in 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), 2022, pp. 1386–1392.
108. V. B. Gadhavi, S. Degadwala, and D. Vyas, “Transfer Learning Approach For Recognizing Natural Disasters Video,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 793–798.
109. J. Mahale, S. Degadwala, and D. Vyas, “Crop Prediction System based on Soil and Weather Characteristics,” in 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 2022, pp. 340–345.
110. M. Shah, S. Degadwala, and D. Vyas, “Diet Recommendation System based on Different Machine Learners: A Review,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 290–295.
111. B. Trivedi, S. Degadwala, and D. Vyas, “Parallel data stream anonymization methods: A review,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 887–891.
112. D. D. Pandya, N. S. Gupta, A. Jadeja, R. D. Patel, S. Degadwala, and D. Vyas, “Bias Protected Attributes Data Balancing using Map Reduce,” in 2022 6th International Conference on Electronics, Communication and Aerospace Technology, 2022, pp. 1540–1544.
113. R. Baria, S. Degadwala, R. Upadhyay, and D. Vyas, “Theoretical Evaluation of Machine And Deep Learning For Detecting Fake News,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 325–329.
114. P. Bam, S. Degadwala, R. Upadhyay, and D. Vyas, “Spoken Language Recognization Based on Features and Classification Methods: A Review,” in 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022, pp. 868–873.
115. K. Butchi Raju, P. Kumar Lakineni, K. S. Indrani, G. Mary Swarna Latha and K. Saikumar, "Optimized building of machine learning technique for thyroid monitoring and analysis," 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021, pp. 1-6.
116. P. K. Lakineni, D. J. Reddy, M. Chitra, R. Umapriya, L. V. Kannan and S. R. Barkunan, "Optimal Feature Selection and Classification Using Convolutional Neural Network-Based Plant Disease Prediction," 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India, 2023, pp. 1-6.
117. P. K. Lakineni, S. Kumar, S. Modi, K. Joshi, V. Mareeskannan and J. Lande, "Deepflow: A Software-Defined Measurement System for Deep Learning," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 1217-1221.
118. P. K. Lakineni, R. Singh, B. Mandaloju, S. Singhal, M. D. Bajpai and M. Tiwari, "A Cloud-Based Healthcare Diagnosis Support Network for Smart IoT for Predicting Chronic Kidney Failure," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 1858-1863.
119. P. K. Lakineni, K. M. Nayak, H. Pallathadka, K. Gulati, K. Pandey and P. J. Patel, "Fraud Detection in Credit Card Data using Unsupervised & Supervised Machine Learning-Based Algorithms," 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 2022, pp. 1-4.
120. V. Dankan Gowda, K. Prasad, R. Shekhar, R. Srinivas, K. N. V. Srinivas and P. K. Lakineni, "Development of a Real-time Location Monitoring App with Emergency Alert Features for Android Devices," 2023 4th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2023, pp. 1-8.
121. S. Mandvikar, “Factors to Consider When Selecting a Large Language Model: A Comparative Analysis,” International Journal of Intelligent Automation and Computing, vol. 6, no. 3, pp. 37–40, 2023.
122. S. Mandvikar, “Augmenting intelligent document processing (IDP) workflows with contemporary large language models (LLMs),” International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 80–91, 2023.
123. R. Boina, A. Achanta, and S. Mandvikar, “Integrating data engineering with intelligent process automation for business efficiency,” International Journal of Science and Research, vol. 12, no. 11, pp. 1736–1740, 2023.
124. S. Mandvikar and A. Achanta, “Process automation 2.0 with generative AI framework,” Int. J. Sci. Res. (Raipur), vol. 12, no. 10, pp. 1614–1619, 2023.
125. Mandvikar, S. (2023). Indexing robotic process automation products. International Journal of Computer Trends and Technology, 71(8), 52–56.
126. Tak, A. (2021). Multi-Modal Fusion for Enhanced Image and Speech Recognition in AI Systems. International Journal of Science and Research, 10(6), 1780-1788.
127. Tak, A. (2021). The Data Mining Techniques for Analyzing Employee Performance and Productivity. International Journal of Science and Research, 10(10), 1575-1578.
128. Tak, A. (2022). The Impact of Electronic Health Records on Patient Care in the US Healthcare System. Journal of Health Statistics Reports, 1(2), 1–7.
129. Tak, A. (2022). Big Data Analytics in Healthcare: Transforming Information into Actionable Insights. Journal of Health Statistics Reports, 1(3), 1-6.
130. Tak, A. (2023). The Role of Cloud Computing in Modernizing Healthcare IT Infrastructure. Journal of Artificial Intelligence & Cloud Computing, 2(2), 1–7.
131. Alarood, A. A., Faheem, M., Al‐Khasawneh, M. A., Alzahrani, A. I., & Alshdadi, A. A. (2023). Secure medical image transmission using deep neural network in e‐health applications. Healthcare Technology Letters, 10(4), 87-98.
132. Al-Khasawneh, M. A., Abu-Ulbeh, W., & Khasawneh, A. M. (2020, December). Satellite images encryption Review. In 2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) (pp. 121-125). IEEE.
133. Al-Khasawneh, M. A., Alzahrani, A., & Alarood, A. (2023). Alzheimer’s Disease Diagnosis Using MRI Images. In Data Analysis for Neurodegenerative Disorders (pp. 195-212). Singapore: Springer Nature Singapore.
134. Al-Khasawneh, M. A., Alzahrani, A., & Alarood, A. (2023). An Artificial Intelligence Based Effective Diagnosis of Parkinson Disease Using EEG Signal. In Data Analysis for Neurodegenerative Disorders (pp. 239-251). Singapore: Springer Nature Singapore.
135. Al-Khasawneh, M. A., Faheem, M., Aldhahri, E. A., Alzahrani, A., & Alarood, A. A. (2023). A MapReduce Based Approach for Secure Batch Satellite Image Encryption. IEEE Access.
136. D. K. Srivastava and B. Roychoudhury, “Understanding the factors that influence adoption of privacy protection features in online social networks,” J. Glob. Inf. Technol. Manag., vol. 24, no. 3, pp. 164–182, 2021.
137. D. K. Srivastava and B. Roychoudhury, “Words are important: A textual content based identity resolution scheme across multiple online social networks,” Knowl. Based Syst., vol. 195, no. 105624, p. 105624, 2020.
138. Mahmoud, M., & Al-Khasawneh, M. A. (2020). Greedy intersection-mode routing strategy protocol for vehicular networks. Complexity, 2020, 1-10.
139. Markkandeyan, S., Gupta, S., Narayanan, G. V., Reddy, M. J., Al-Khasawneh, M. A., Ishrat, M., & Kiran, A. (2023). Deep learning based semantic segmentation approach for automatic detection of brain tumor. International Journal of Computers Communications & Control, 18(4).
140. R. Regin, S. S. Rajest, Shynu T, & Steffi. R. (2023). Relationship Between Employee Loyalty and Job Satisfaction in an Organization. European Journal of Life Safety and Stability (2660-9630), 36(12), 54-73.
141. R. Regin, S. Suman Rajest, Shynu T, & Steffi. R. (2023). Planning the Most Effective Itinerary for Tourists through the use of Data Analysis. International Journal of Human Computing Studies, 5(12), 77-92.
142. Rajest, S. S., Regin, R., T, Shynu., & R, Steffi. (2023). Treatment Method for Sewage Water Used in Horticulture. European Journal of Life Safety and Stability, 36(12), 11-27.
143. Regin, R., S. Suman Rajest, Shynu T, and Steffi. R. “Application of Machine Learning to the Detection of Retinal Diseases”. European Journal of Life Safety and Stability, 37(1): 1-23.
144. S. Suman Rajest, R. Regin, Shynu T, & Steffi. R. (2023). An Approach Based on Machine Learning for Conducting Sentiment Analysis on Twitter Data. International Journal of Human Computing Studies, 5(12), 57-76.
145. S. Suman Rajest, R. Regin, Shynu T, & Steffi. R. (2023). Using Voice Guidance, an Intelligent Walking Assistance Mechanism for the Blind. Central Asian Journal of Theoretical and Applied Science, 4(11), 41-63. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/1335
146. S. Suman Rajest, R. Regin, Shynu T, & Steffi. R. (2024). Analysis of Sentimental Bias the Implementation of Supervised Machine Learning Algorithms. International Journal of Innovative Analyses and Emerging Technology, 4(1), 8–33.
147. Shah, S. A. A., Al-Khasawneh, M. A., & Uddin, M. I. (2021, June). Street-crimes Modelled Arms Recognition Technique (SMART): Using VGG. In 2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE) (pp. 38-44). IEEE.
148. Shah, S. A. A., Al-Khasawneh, M. A., & Uddin, M. I. (2021, June). Review of weapon detection techniques within the scope of street-crimes. In 2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE) (pp. 26-37). IEEE.
149. Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2023). Android Application for Remote Control of Personal Computers. International Journal on Orange Technologies, 5(12), 44-58.
150. Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2023). Corporate Governance and Family Involvement as Performance Factors. Spanish Journal of Innovation and Integrity, 25(12), 76-94.
151. Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2023). Region Segmentation and Support Vector Machine for Brain Tumour Stage Analysis, Detection, and Automatic Classification. Central Asian Journal of Medical and Natural Science, 25-43.
152. Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2024). Using a Deep Convolutional Neural Network to Identify Vehicle Driver Activity. International Journal on Orange Technologies, 6(1), 1-19.
153. Steffi. R, Shynu T, S. Suman Rajest, & R. Regin. (2023). A Convolutional Neural Network with a U-Net for Brain Tumor Segmentation and Classification. Central Asian Journal of Medical and Natural Science, 4(6), 1326-1343.
154. Steffi. R, Shynu T, S. Suman Rajest, & R. Regin. (2023). Performance of Employees in Relation to The Effects of Change Management Practices. Central Asian Journal of Innovations on Tourism Management and Finance, 4(12), 1-23.
155. Steffi. R, Shynu T, S. Suman Rajest, & R. Regin. (2024). A Review of the System for Filtering Particulate Matter Affected by Cement Factor. Central Asian Journal of Theoretical and Applied Science, 5(1), 78-93.
156. Sukhni, H. A., Al-Khasawneh, M. A., & Yusoff, F. H. (2021, June). A Systematic Analysis for Botnet Detection using Genetic Algorithm. In 2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE) (pp. 63-66). IEEE.
157. Sundararajan, V., Steffi, R., & Shynu, T. (2023). Data Fusion Strategies for Collaborative Multi-Sensor Systems: Achieving Enhanced Observational Accuracy and Resilience. FMDB Transactions on Sustainable Computing Systems, 1(3), 112–123.
158. Tak, A., & Sundararajan, V. (2023, December 2). Pervasive Technologies and Social Inclusion in Modern Healthcare: Bridging the Digital Divide. FMDB Transactions on Sustainable Health Science Letters, 1(3), 118-129.
159. V. K. Nomula, R. Steffi, and T. Shynu, “Examining the Far-Reaching Consequences of Advancing Trends in Electrical, Electronics, and Communications Technologies in Diverse Sectors,” FMDB Transactions on Sustainable Energy Sequence, vol. 1, no. 1, pp. 27–37, 2023.
Published
2024-01-28
How to Cite
S. Suman Rajest, R. Regin, Shynu T, & Steffi. R. (2024). A QR Code-Based Real-Time Auditing System for Safe Online Data Storage. International Journal of Human Computing Studies, 6(1), 10-28. https://doi.org/10.31149/ijhcs.v6i1.5186
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