Android Application for Remote Control of Personal Computers
Keywords:
Personal Computers, Touch-pad, Keypad, Android Application, Remote Control, Multi-Scrolling
Abstract
The development of mobile devices, particularly in these modern times, has brought about a significant transformation in the way business is conducted. The capability of a mobile phone device is frequently anticipated to be comparable to that of a computer. In this day and age, the majority of people who use mobile phones feel that performing some things on their computers is inconvenient. The majority of people find that switching postures when sitting or stretching not only makes them feel more comfortable, but also makes them feel more at ease when they are browsing through their laptops. Standing five or ten feet away from the computer while being restricted to using only the keyboard and mouse can be an impractical situation. Additionally, the system provides the features to access the files that are available on the computer; if the file appears to be a media file, this Android app can play, pause, stop, mute, and turn on/off full-screen mode of the respective media. As a result, the application that is being proposed is intended to transform the handphone into a wireless keyboard or mouse that also includes a touch pad. The wireless network is the medium through which the link is established (WiFi). It has been demonstrated that this prototype is capable of performing the majority of the functions that are often associated with a computer.
References
1. S.-C. Chong, L.-Y. Chong, and S. B. Ajiroba, "A Mobile-Based Computer Controller via Android Technology," Int. J. Inf. Technol. Comput. Sci., vol. 5, no. 3, pp. 21–28, 2013.
2. M. A. A. Milton and A. A. S. Khan, "Web-based remote exploration and control system using android mobile phone," in 2012 International Conference on Informatics, Electronics & Vision (ICIEV), 2012.
3. M. Yan and H. Shi, "Smart Living Using Bluetooth-Based Android Smartphone," Int. J. Wirel. Mob. Netw., vol. 5, no. 1, pp. 65–72, 2013.
4. S. Kumar. and Padmavathy., "Android based security and remote surveilance system," Graduate Research in Engineering and Technology, vol.1, no.1, pp. 76–79, 2013.
5. Rad, D. T., Dughi, T., Roman, A., & Ignat, S. (2019). Perspectives of Consent Silence in Cyberbullying. Postmodern Openings, 10(2), 57-73.
6. Rad, D., Dixon, D., & Rad, G. (2020). Digital Outing Confidence as a Mediator in the Digital Behavior Regulation and Internet Content Awareness Relationship. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 11(1), 84-95.
7. Balas-Timar, D. (2014). Is It Psychology About Linear Or Dynamic Systems?. SEA-Practical Application of Science, 2 (2), 189-196.
8. Demeter, E., & Rad, D. (2020). Global life satisfaction and general antisocial behavior in young individuals: the mediating role of perceived loneliness in regard to social sustainability—a preliminary investigation. Sustainability, 12(10), 4081.
9. Rad, D., & Demeter, E. (2019). Youth Sustainable Digital Wellbeing. Postmodern Openings, (4), 104-115.
10. Balas-Timar, D. (2015). Relationship between job performance and job satisfaction viewed from the chaos theory perspective. International Journal of Education and Research, 3(3), 517-534.
11. Rad, D., & Demeter, E. (2020). A Moderated Mediation Effect of Online Time Spent on Internet Content Awareness, Perceived Online Hate Speech and Helping Attitudes Disposal of Bystanders. Postmodern Openings, 11(2 Supl 1), 107-124.
12. Rad, D., Balas, V., Lile, R., Demeter, E., Dughi, T., & Rad, G. (2020). Statistical Properties of a New Social Media Context Awareness Scale (SMCA)—A Preliminary Investigation. Sustainability, 12(12), 5201.
13. Balas-Timar, D., & Ignat, S. (2015). Conceptual applicant screening model with fuzzy logic in industrial organizational contexts. Procedia-Social and Behavioral Sciences, 203, 257-263.
14. Rad, D., Egerau, A., Roman, A., Dughi, T., Balas, E., Maier, R., ... & Rad, G. (2022). A Preliminary Investigation of the Technology Acceptance Model (TAM) in Early Childhood Education and Care. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 13(1), 518-533.
15. Rad, D., Balas, E., Ignat, S., Rad, G., & Dixon, D. (2020). A Predictive Model of Youth Bystanders’ Helping Attitudes. Revista romaneasca pentru educatie multidimensionala-Journal for Multidimensional Education, 12(1Sup2), 136-150.
16. O. Fabela, S. Patil, S. Chintamani, and B. H. Dennis, “Estimation of effective thermal conductivity of porous media utilizing inverse heat transfer analysis on cylindrical configuration,” in Volume 8: Heat Transfer and Thermal Engineering, 2017.
17. S. Patil, S. Chintamani, B. H. Dennis, and R. Kumar, “Real time prediction of internal temperature of heat generating bodies using neural network,” Therm. Sci. Eng. Prog., vol. 23, no. 100910, p. 100910, 2021.
18. S. Patil, S. Chintamani, J. Grisham, R. Kumar, and B. H. Dennis, “Inverse determination of temperature distribution in partially cooled heat generating cylinder,” in Volume 8B: Heat Transfer and Thermal Engineering, 2015.
19. Roman, A., Rad, D., Egerau, A., Dixon, D., Dughi, T., Kelemen, G., ... & Rad, G. (2020). Physical Self-Schema Acceptance and Perceived Severity of Online Aggressiveness in Cyberbullying Incidents. Journal of Interdisciplinary Studies in Education, 9(1), 100-116.
20. Demeter, E., Rad, D., & Balas, E. (2021). Schadenfreude and General Anti-Social Behaviours: The Role of Violent Content Preferences and Life Satisfaction. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 12(2), 98-111.
21. Rad, D., Dughi, T., & Demeter, E. (2019). The Dynamics of the Relationship between Humor and Benevolence as Values. Revista romaneasca pentru educatie multidimensionala-Journal for Multidimensional Education, 11(3), 201-212.
22. Balas-Timar, D., & Lile, R. (2015). The story of Goldilocks told by organizational psychologists. Procedia-Social and Behavioral Sciences, 203, 239-243.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. S. R. Vadyala, S. N. Betgeri, E. A. Sherer, and A. Amritphale, “Prediction of the number of COVID-19 confirmed cases based on K-means-LSTM.” Array, vol. 11, p. 100085, 2021.
30. 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.
31. 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.
32. Rad, D., & Balas, V. E. (2020). A Novel Fuzzy Scoring Approach of Behavioural Interviews in Personnel Selection. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 11(2), 178-188.
33. Rad, D., Rad, G., Maier, R., Demeter, E., Dicu, A., Popa, M., ... & Mărineanu, V. D. (2022). A Fuzzy logic modelling approach on psychological data. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-11.
34. Rad, D., & Rad, G. (2021). Going Agile, a Post-Pandemic Universal Work Paradigm-A Theoretical Narrative Review. Postmodern Openings, 12(4), 337-388.
35. Rad, D., & Rad, G. (2021). Theories of change in Agile Psychology. Technium Soc. Sci. J., 21, 570.
36. Gao, T., & Liu, J. (2021). Application of improved random forest algorithm and fuzzy mathematics in physical fitness of athletes. Journal of Intelligent & Fuzzy Systems, 40(2), 2041-2053.
37. Paudel, P. K., Bastola, R., Eigenbrode, S. D., Borzée, A., Thapa, S., Rad, D., ... & Adhikari, S. (2022). Perspectives of scholars on the origin, spread and consequences of COVID-19 are diverse but not polarized. Humanities and Social Sciences Communications, 9(1), 1-11.
38. Rad, D., Redeş, A., Roman, A., Ignat, S., Lile, R., Demeter, E., ... & Rad, G. (2022). Pathways to inclusive and equitable quality early childhood education for achieving SDG4 goal—a scoping review. Frontiers in Psychology, 4306.
39. Abbassy, M. M., & Mohamed, A. A. (2016). Mobile Expert System to Detect Liver Disease Kind”. International Journal of Computer Applications, 14(5), 320–324.
40. Abbassy, Mohamed M. (2020a). Opinion mining for Arabic customer feedback using machine learning. Journal of Advanced Research in Dynamical and Control Systems, 12(SP3), 209–217.
41. Abbassy, Mohamed M. (2020b). The human brain signal detection of health information system in EDSAC: A novel cipher text attribute based encryption with EDSAC distributed storage access control. Journal of Advanced Research in Dynamical and Control Systems, 12(SP7), 858–868.
42. Abbassy, Mohamed M., & Abo-Alnadr, A. (2019). Rule-based emotion AI in Arabic customer review. International Journal of Advanced Computer Science and Applications : IJACSA, 10(9).
43. Abbassy, Mohamed M., & Ead, W. M. (2020). Intelligent Greenhouse Management System. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE.
44. Derindere Köseoğlu, S., Ead, W. M., & Abbassy, M. M. (2022). Basics of Financial Data Analytics. In Financial Data Analytics (pp. 23–57). Cham: Springer International Publishing.
45. Ead, W., & Abbassy, M. (2018). Intelligent systems of machine learning approaches for developing E-services portals. EAI Endorsed Transactions on Energy Web, 167292.
46. Ead, W. M., & Abbassy, M. M. (2021). IOT based on plant diseases detection and classification. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE.
47. Ead, W. M., & Abbassy, M. M. (2022). A general cyber hygiene approach for financial analytical environment. In Financial Data Analytics (pp. 369–384). Cham: Springer International Publishing.
48. Ead, W., Emad, & Abbassy, M. M. (2021). A general framework information loss of utility-based anonymization in data publishing. Turkish Journal of Computer and Mathematics Education, 12(5), 1450–1456.
49. Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2013). Mobile Hospitalization. International Journal of Computer Applications, 80(13), 18–23.
50. Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2014). Mobile Hospitalization for Kidney Transplantation. International Journal of Computer Applications, 92(6), 25–29.
51. Mohamed, & Mesbah, S. (2016). Effective e-government and citizens adoption in Egypt. International Journal of Computer Applications, 133(7), 7–13.
52. Sadek, R. A., Abd-alazeem, D. M., & Abbassy, M. M. (2021). A new energy-efficient multi-hop routing protocol for heterogeneous wireless sensor networks. International Journal of Advanced Computer Science and Applications : IJACSA, 12(11).
53. Rad, D., Magulod Jr, G. C., Balas, E., Roman, A., Egerau, A., Maier, R., ... & Chis, R. (2022). A Radial Basis Function Neural Network Approach to Predict Preschool Teachers’ Technology Acceptance Behavior. Frontiers in Psychology, 13.
54. Rad, D., Balas, V. E., Marineanu, V. D., Maier, R. (2021). Digital Wellbeing. Berlin, Germany: Peter Lang Verlag. Retrieved Mar 29, 2022, from https://www.peterlang.com/document/1137170
55. Rad, D., Dughi, T., Maier, R., Egerău, A. (2022). Applied Research in Digital Wellbeing. Berlin, Germany: Peter Lang Verlag. Retrieved Mar 29, 2022, from 10.3726/b19309, https://www.peterlang.com/document/1175495
56. AbdulKader, H., ElAbd, E., & Ead, W. (2016). Protecting Online Social Networks Profiles by Hiding Sensitive Data Attributes. Procedia Computer Science, 82, 20–27.
57. Fattoh, I. E., Kamal Alsheref, F., Ead, W. M., & Youssef, A. M. (2022). Semantic sentiment classification for covid-19 tweets using universal sentence encoder. Computational Intelligence and Neuroscience, 2022, 1–8.
58. Ead, W. M., Abdel-Wahed, W. F., & Abdul-Kader, H. (2013). Adaptive Fuzzy Classification-Rule Algorithm In Detection Malicious Web Sites From Suspicious URLs. Int. Arab. J. E Technol., 3, 1–9.
59. Abdelazim, M. A., Nasr, M. M., & Ead, W. M. (2020). A survey on classification analysis for cancer genomics: Limitations and novel opportunity in the era of cancer classification and Target Therapies. Annals of Tropical Medicine and Public Health, 23(24).
60. Alsheref, F. K., Fattoh, I. E., & M.Ead, W. (2022). Automated prediction of employee attrition using ensemble model based on machine learning algorithms. Computational Intelligence and Neuroscience, 2022, 1–9.
61. Haq, M. A., Azam, M. F., & Vincent, C. (2021). Efficiency of artificial neural networks for glacier ice-thickness estimation: A case study in western Himalaya, India. Journal of Glaciology, 67(264), 671–684.
62. Haq, M. A. (2022). CNN Based Automated Weed Detection System Using UAV Imagery. Computer Systems Science and Engineering, 42(2), 837–849.
63. Haq, M. A., & Khan, M. Y. A. (2022). Crop Water Requirements with Changing Climate in an Arid Region of Saudi Arabia. Sustainability, 14(13554), 1–24.
64. Haq, M. A. (2021). Intellligent sustainable agricultural water practice using multi sensor spatiotemporal evolution. Environmental Technology (United Kingdom).
65. Haq, M. A., Khan, M. A. R., & Alshehri, M. (2022). Insider Threat Detection Based on NLP Word Embedding and Machine Learning. Intelligent Automation and Soft Computing, 33(1), 619–635.
66. Haq, M. A. (2021). Development of PCCNN-Based Network Intrusion Detection System for EDGE Computing. Computers Materials and Continua, 71(1), 1729–1750.
67. Haq, M. A. (2022). Machine Learning-based Classification of Hyperspectral Imagery. International Journal of Computer Science and Network Security, 22(4), 1–10.
68. Haq, M. A., & Ahmed, A. (2022). On Interesting Correlation between Meteorological Parameters and COVID-19 Pandemic in Saudi Arabia. International Journal of Computer Science and Network Security, 22(4), 1–10.
69. Haq, M. A. (2022). Planetscope Nanosatellites Image Classification Using Machine Learning. Computer Systems Science and Engineering, 42(3), 1031–1046.
70. Haq, M. A., Baral, P., Yaragal, S., & Pradhan, B. (2021). Bulk processing of multi‐temporal modis data, statistical analyses and machine learning algorithms to understand climate variables in the indian himalayan region. Sensors, 21(21).
71. Haq, M. A. (2021). Deep Learning Based Modeling of Groundwater Storage Change. Computers Materials and Continua, 70(3), 4599–4617.
72. R. Oak, M. Du, D. Yan, H. Takawale, and I. Amit, “Malware detection on highly imbalanced data through sequence modeling,” in Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security - AISec’19, 2019.
73. Haq, M. A., Jain, K., & Menon, K. P. R. (2014). Modelling of Gangotri glacier thickness and volume using an artificial neural network. International Journal of Remote Sensing, 35(16), 6035–6042.
74. Haq, M. A., Baral, P., Yaragal, S., & Rahaman, G. (2020). Assessment of trends of land surface vegetation distribution, snow cover and temperature over entire Himachal Pradesh using MODIS datasets. Natural Resource Modeling, 33(2).
75. Srinath Venkatesan, “Design an Intrusion Detection System based on Feature Selection Using ML Algorithms”, MSEA, vol. 72, no. 1, pp. 702–710, Feb. 2023
76. Srinath Venkatesan, “Identification Protocol Heterogeneous Systems in Cloud Computing”, MSEA, vol. 72, no. 1, pp. 615–621, Feb. 2023.
77. Cristian Laverde Albarracín, Srinath Venkatesan, Arnaldo Yana Torres, Patricio Yánez-Moretta, Juan Carlos Juarez Vargas, “Exploration on Cloud Computing Techniques and Its Energy Concern”, MSEA, vol. 72, no. 1, pp. 749–758, Feb. 2023.
78. Srinath Venkatesan, “Perspectives and Challenges of Artificial Intelligence Techniques in Commercial Social Networks”Volume 21, No 5 (2023).
79. Srinath Venkatesan, Zubaida Rehman, “The Power Of 5g Networks and Emerging Technology and Innovation: Overcoming Ongoing Century Challenges” Ion exchange and adsorption, Volume 23, Issue 1, 2023.
80. Srinath Venkatesan, “Challenges of Datafication: Theoretical, Training, And Communication Aspects of Artificial Intelligence” Ion exchange and adsorption. Volume 23, Issue 1, 2023.
81. Giovanny Haro-Sosa , Srinath Venkatesan, “Personified Health Care Transitions With Automated Doctor Appointment System: Logistics”, Journal of Pharmaceutical Negative Results, pp. 2832–2839, Feb. 2023
82. Srinath Venkatesan, Sandeep Bhatnagar, José Luis Tinajero León, "A Recommender System Based on Matrix Factorization Techniques Using Collaborative Filtering Algorithm", neuroquantology, vol. 21, no. 5, pp. 864-872, march 2023.
83. Srinath Venkatesan, "Utilization of Media Skills and Technology Use Among Students and Educators in The State of New York", Neuroquantology, Vol. 21, No 5, pp. 111-124, (2023).
84. Srinath Venkatesan, Sandeep Bhatnagar, Iván Mesias Hidalgo Cajo, Xavier Leopoldo Gracia Cervantes, "Efficient Public Key Cryptosystem for wireless Network", Neuroquantology, Vol. 21, No 5, pp. 600-606, (2023).
85. A. R. Yeruva and V. B. Ramu, “Optimising AIOps system performance for e-commerce and online retail businesses with the ACF model,” Int. J. Intellect. Prop. Manag., vol. 1, no. 1, p. 1, 2022.
86. V. B. Ramu and A. R. Yeruva, “AIOps research innovations, performance impact and challenges faced,” Int. J. Syst. Syst. Eng., vol. 13, no. 3, p. 1, 2023.
87. Rathi, S., Chaturvedi, S., Abdullah, S., Rajput, G., Alqahtani, N. M., Chaturvedi, M., Gurumurthy, V., Saini, R., Bavabeedu, S. S., & Minervini, G. (2023). Clinical Trial to Assess Physiology and Activity of Masticatory Muscles of Complete Denture Wearer Following Vitamin D Intervention. Medicina, 59(2), 410.
88. Kaur, K., Suneja, B., Jodhka, S., Saini, R. S., Chaturvedi, S., Bavabeedu, S. S., Alhamoudi, F. H., Cicciù, M., & Minervini, G. (2023). Comparison between Restorative Materials for Pulpotomised Deciduous Molars: A Randomized Clinical Study. Children, 10(2), 284.
89. Kumar A, Saini RS, Sharma V , Rai R U , Gupta P, Sabharwal P ( 2021) , Assessment of Pattern of Oral Prosthetic Treatment and Prevalence of Oral Diseases in Edentulous Patients in North Indian Population: A Cross-sectional Study. J Pharm Bioallied Sci. 2021 Jun; 13(Suppl 1): S187–S189.
90. Solanki, J., Jain, R., Singh, R., Gupta, S., Arya, A., & Tomar, D. (2015). Prevalence of Osteosclerosis Among Patients Visiting Dental Institute in Rural Area of Western India. Journal of clinical and diagnostic research : JCDR, 9(8), ZC38–ZC40.
91. Alshadidi, A. A. F., Alshahrani, A. A., Aldosari, L. I. N., Chaturvedi, S., Saini, R. S., Hassan, S. A. B., Cicciù, M., & Minervini, G. (2023). Investigation on the Application of Artificial Intelligence in Prosthodontics. Applied Sciences, 13(8), 5004.
92. Mohamed J. Saadh, Andrés Alexis Ramírez-Coronel, Ravinder Singh Saini, José Luis Arias-Gonzáles, Ali H. Amin, Juan Carlos Orosco Gavilán & Ioan Sârbu ( 2023) Advances in mesenchymal stem/stromal cell-based therapy and their extracellular vesicles for skin wound healing .Human Cell (2023).
93. V. Bansal, S. Pandey, S. K. Shukla, D. Singh, S. A. Rathod and J. L. A. Gonzáles, "A Frame Work of Security Attacks, Issues Classifications and Configuration Strategy for IoT Networks for the Successful Implementation," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 1336-1339.
94. V. Gunturu, V. Bansal, M. Sathe, A. Kumar, A. Gehlot and B. Pant, "Wireless Communications Implementation Using Blockchain as Well as Distributed Type of IOT," 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 979-982.
95. V. Suthar, V. Bansal, C. S. Reddy, J. L. A. Gonzáles, D. Singh and D. P. Singh, "Machine Learning Adoption in Blockchain-Based Smart Applications," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 372-378.
96. D. Uike, S. Agarwalla, V. Bansal, M. K. Chakravarthi, R. Singh and P. Singh, "Investigating the Role of Block Chain to Secure Identity in IoT for Industrial Automation," 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2022, pp. 837-841.
97. S. Sonnad, M. Sathe, D. K. Basha, V. Bansal, R. Singh and D. P. Singh, "The Integration of Connectivity and System Integrity Approaches using Internet of Things (IoT) for Enhancing Network Security," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 362-366.
98. Kaur, L., & Shah, S. (2022). Production of bacterial cellulose by Acetobacter tropicalis isolated from decaying apple waste. Asian Journal of Chemistry, 34(2), 453–458.
99. Kaur, L., & Shah, S. (2022). Screening and characterization of cellulose-producing bacterial strains from decaying fruit waste. International Journal of Food and Nutritional Science, 11, 8–14.
100. Verma,S & Kaur,L. . (2018). Identification Of Waste Utilizing Bacteria From Fruit Waste. Global Journal for Research Analysis Volume-7(6, June)
101. Kaur, L., & Singh, N., Effect of mustard oil and process variables extrusion behavior of rice grits (2000). Journal Of Food Science And Technology. Mysore, 37, 656–660.
102. Thapar, Lakhvinder. (2017). Bulk And Nano-Zinc Oxide Particles Affecting Physio-Morphological Properties Of Pisum Sativum. International Journal Of Research In Engineering And Applied Sciences (IJREAS).
103. Mathew, Sneha & Thapar, Lakhvinder. (2019). Estimation of Protein Intake on the Basis of Urinary Urea Nitrogen in Patients with Non-Alcoholic Fatty Liver. International Journal for Research in Applied Science and Engineering Technology. 7. 2321-9653.
104. Thapar, Lakhvinder. (2017). Fermentation Potential Of Prebiotic Juice Obtained From Natural Sources. International Journal Of Advanced Research. 5. 1779-1785.
105. Mittal, Srishty & Thapar, Lakhvinder. (2019). Vitamin D Levels Between The Tuberculosis Infected And Non – Infected Subjects In 16-25 Years Of Age.
106. Praveen Kumar Sharma, Sushil Sharma, Common fixed point for weakly compatible maps in intuitionistic fuzzy metric spaces using property (S-B)”, Journal of Non-linear Analysis Optimization and Theory, Vol 5, No.2 (2014), 105-117.
107. Praveen Kumar Sharma, Sushil Sharma, Common fixed point theorem in intuitionistic fuzzy metric space under strict contractive conditions", Journal of Non-linear Analysis Optimization and Theory Vol 3 No.2 (2012), 161-169.
108. Praveen Kumar Sharma, Common fixed points for weakly compatible maps in intuitionistic fuzzy metric spaces using the property (CLRg)”, International Knowledge Press, Asian Journal of Mathematics & Computer Research, Vol 6, No.2 (2015), 138-150.
109. Praveen Kumar Sharma, Shivram Sharma, Common Fixed Point Theorems for Six Self Maps in FM-Spaces Using Common Limit in Range Concerning Two Pairs of Products of Two Different Self-maps”, Revista Geintec-Gestao Inovacao E Tecnologias, Vol 11, No. 4 (2021), 5634-5642.
110. Shivam Sharma, Praveen Kumar Sharma,A study of SIQR model with Holling type–II incidence rate”, Malaya Journal of Matematik, Vol. 9, No. 1, 305-311.
111. D. S. Das, D. Gangodkar, R. Singh, P. Vijay, A. Bhardwaj and A. Semwal, "Comparative Analysis of Skin Cancer Prediction using Neural Networks and Transfer Learning," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 367-371.
112. A. Bhardwaj, J. Pattnayak, D. Prasad Gangodkar, A. Rana, N. Shilpa and P. Tiwari, "An Integration of Wireless Communications and Artificial Intelligence for Autonomous Vehicles for the Successful Communication to Achieve the Destination," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 748-752.
113. A. Bhardwaj, S. Rebelli, A. Gehlot, K. Pant, J. L. A. Gonzáles and F. A., "Machine learning integration in Communication system for efficient selection of signals," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 1529-1533.
114. A. Bhardwaj, R. Raman, J. Singh, K. Pant, N. Yamsani and R. Yadav, "Deep Learning-Based MIMO and NOMA Energy Conservation and Sum Data Rate Management System," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 866-871.
115. V. Bansal, A. Bhardwaj, J. Singh, D. Verma, M. Tiwari and S. Siddi, "Using Artificial Intelligence to Integrate Machine Learning, Fuzzy Logic, and The IOT as A Cybersecurity System," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 762-769.
116. A. Chaturvedi, A. Bhardwaj, D. Singh, B. Pant, J. L. A. Gonzáles and F. A., "Integration of DL on Multi-Carrier Non-Orthogonal Multiple Access System with Simultaneous Wireless Information and Power Transfer," 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2022, pp. 640-643.
117. A. Uthiramoorthy, A. Bhardwaj, J. Singh, K. Pant, M. Tiwari and J. L. A. Gonzáles, "A Comprehensive review on Data Mining Techniques in managing the Medical Data cloud and its security constraints with the maintained of the communication networks," 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 618-623.
118. T, Shynu, S. S. Rajest, R. Regin, and Steffi. R. 2023. “OTP As a Service in the Cloud Allows for Authentication of Multiple Services”. International Journal on Orange Technologies 5 (4), 94-112.
119. Regin, R., S. Suman Rajest, Shynu T, and Steffi. R. (2023). “Electronic Tourism as A Destination Marketing Strategy for World Travellers”. Central Asian Journal of Mathematical Theory and Computer Sciences. 4 (5), 9-28.
120. S. Suman Rajest, Shynu T, R. Regin*, & Steffi. R. (2023). An Individualized Recommendation and Promotional System for Tourist Attractions. Central Asian Journal of Theoretical and Applied Science, 4(5), 64-84. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/1162
121. R, Steffi., S. Suman Rajest, R. Regin, and Shynu T. 2023. “Detection Of Prominent Objects by The Use of Deep Learning”. Central Asian Journal of Mathematical Theory and Computer Sciences 4 (5), 62-82.
122. Regin, R., S. Suman Rajest, Shynu T, and Steffi. R. 2023. “Principal Component Analysis for ATM Facial Recognition Security”. Central Asian Journal of Medical and Natural Science 4 (3), 292-311.
123. T, Shynu, S. Suman Rajest, R. Regin, and Steffi. R. (2023). “Analysis of the Impact of Employee Training and Development on Performance”. Central Asian Journal of Innovations on Tourism Management and Finance 4 (6), 1-25.
124. Steffi. R, S. S. Rajest, R. Regin, Shynu T, & S. S. Priscila. (2023). Analysis of an Interview Based on Emotion Detection Using Convolutional Neural Networks. Central Asian Journal of Theoretical and Applied Science, 4(6), 78-102.
125. S. Silvia Priscila, S. Suman Rajest, R. Regin, Shynu T, & Steffi. R. (2023). Classification of Satellite Photographs Utilizing the K-Nearest Neighbor Algorithm. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(6), 53-71.
126. S. Suman Rajest, S. Silvia Priscila, R. Regin, Shynu T, & Steffi. R. (2023). Application of Machine Learning to the Process of Crop Selection Based on Land Dataset. International Journal on Orange Technologies, 5(6), 91-112.
127. Suman Rajest, S., Regin, R., Y, A., Paramasivan, P., Christabel, G. J. A., & T, Shynu. (2023). The Analysis of How Artificial Intelligence Has an Effect on Teachers and The Education System. EAI Endorsed Transactions on E-Learning, 9(4), 1-10.
128. 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.
129. 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.
130. 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.
131. Haq, M. A., Rahaman, G., Baral, P., & Ghosh, A. (2020). Deep Learning Based Supervised Image Classification Using UAV Images for Forest Areas Classification. Journal of the Indian Society of Remote Sensing., 49.
132. Baral, P., & Haq, M. A. (2020). Spatial prediction of permafrost occurrence in Sikkim Himalayas using logistic regression, random forests, support vector machines and neural networks. Geomorphology, 371, 107331.
2. M. A. A. Milton and A. A. S. Khan, "Web-based remote exploration and control system using android mobile phone," in 2012 International Conference on Informatics, Electronics & Vision (ICIEV), 2012.
3. M. Yan and H. Shi, "Smart Living Using Bluetooth-Based Android Smartphone," Int. J. Wirel. Mob. Netw., vol. 5, no. 1, pp. 65–72, 2013.
4. S. Kumar. and Padmavathy., "Android based security and remote surveilance system," Graduate Research in Engineering and Technology, vol.1, no.1, pp. 76–79, 2013.
5. Rad, D. T., Dughi, T., Roman, A., & Ignat, S. (2019). Perspectives of Consent Silence in Cyberbullying. Postmodern Openings, 10(2), 57-73.
6. Rad, D., Dixon, D., & Rad, G. (2020). Digital Outing Confidence as a Mediator in the Digital Behavior Regulation and Internet Content Awareness Relationship. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 11(1), 84-95.
7. Balas-Timar, D. (2014). Is It Psychology About Linear Or Dynamic Systems?. SEA-Practical Application of Science, 2 (2), 189-196.
8. Demeter, E., & Rad, D. (2020). Global life satisfaction and general antisocial behavior in young individuals: the mediating role of perceived loneliness in regard to social sustainability—a preliminary investigation. Sustainability, 12(10), 4081.
9. Rad, D., & Demeter, E. (2019). Youth Sustainable Digital Wellbeing. Postmodern Openings, (4), 104-115.
10. Balas-Timar, D. (2015). Relationship between job performance and job satisfaction viewed from the chaos theory perspective. International Journal of Education and Research, 3(3), 517-534.
11. Rad, D., & Demeter, E. (2020). A Moderated Mediation Effect of Online Time Spent on Internet Content Awareness, Perceived Online Hate Speech and Helping Attitudes Disposal of Bystanders. Postmodern Openings, 11(2 Supl 1), 107-124.
12. Rad, D., Balas, V., Lile, R., Demeter, E., Dughi, T., & Rad, G. (2020). Statistical Properties of a New Social Media Context Awareness Scale (SMCA)—A Preliminary Investigation. Sustainability, 12(12), 5201.
13. Balas-Timar, D., & Ignat, S. (2015). Conceptual applicant screening model with fuzzy logic in industrial organizational contexts. Procedia-Social and Behavioral Sciences, 203, 257-263.
14. Rad, D., Egerau, A., Roman, A., Dughi, T., Balas, E., Maier, R., ... & Rad, G. (2022). A Preliminary Investigation of the Technology Acceptance Model (TAM) in Early Childhood Education and Care. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 13(1), 518-533.
15. Rad, D., Balas, E., Ignat, S., Rad, G., & Dixon, D. (2020). A Predictive Model of Youth Bystanders’ Helping Attitudes. Revista romaneasca pentru educatie multidimensionala-Journal for Multidimensional Education, 12(1Sup2), 136-150.
16. O. Fabela, S. Patil, S. Chintamani, and B. H. Dennis, “Estimation of effective thermal conductivity of porous media utilizing inverse heat transfer analysis on cylindrical configuration,” in Volume 8: Heat Transfer and Thermal Engineering, 2017.
17. S. Patil, S. Chintamani, B. H. Dennis, and R. Kumar, “Real time prediction of internal temperature of heat generating bodies using neural network,” Therm. Sci. Eng. Prog., vol. 23, no. 100910, p. 100910, 2021.
18. S. Patil, S. Chintamani, J. Grisham, R. Kumar, and B. H. Dennis, “Inverse determination of temperature distribution in partially cooled heat generating cylinder,” in Volume 8B: Heat Transfer and Thermal Engineering, 2015.
19. Roman, A., Rad, D., Egerau, A., Dixon, D., Dughi, T., Kelemen, G., ... & Rad, G. (2020). Physical Self-Schema Acceptance and Perceived Severity of Online Aggressiveness in Cyberbullying Incidents. Journal of Interdisciplinary Studies in Education, 9(1), 100-116.
20. Demeter, E., Rad, D., & Balas, E. (2021). Schadenfreude and General Anti-Social Behaviours: The Role of Violent Content Preferences and Life Satisfaction. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 12(2), 98-111.
21. Rad, D., Dughi, T., & Demeter, E. (2019). The Dynamics of the Relationship between Humor and Benevolence as Values. Revista romaneasca pentru educatie multidimensionala-Journal for Multidimensional Education, 11(3), 201-212.
22. Balas-Timar, D., & Lile, R. (2015). The story of Goldilocks told by organizational psychologists. Procedia-Social and Behavioral Sciences, 203, 239-243.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. S. R. Vadyala, S. N. Betgeri, E. A. Sherer, and A. Amritphale, “Prediction of the number of COVID-19 confirmed cases based on K-means-LSTM.” Array, vol. 11, p. 100085, 2021.
30. 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.
31. 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.
32. Rad, D., & Balas, V. E. (2020). A Novel Fuzzy Scoring Approach of Behavioural Interviews in Personnel Selection. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 11(2), 178-188.
33. Rad, D., Rad, G., Maier, R., Demeter, E., Dicu, A., Popa, M., ... & Mărineanu, V. D. (2022). A Fuzzy logic modelling approach on psychological data. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-11.
34. Rad, D., & Rad, G. (2021). Going Agile, a Post-Pandemic Universal Work Paradigm-A Theoretical Narrative Review. Postmodern Openings, 12(4), 337-388.
35. Rad, D., & Rad, G. (2021). Theories of change in Agile Psychology. Technium Soc. Sci. J., 21, 570.
36. Gao, T., & Liu, J. (2021). Application of improved random forest algorithm and fuzzy mathematics in physical fitness of athletes. Journal of Intelligent & Fuzzy Systems, 40(2), 2041-2053.
37. Paudel, P. K., Bastola, R., Eigenbrode, S. D., Borzée, A., Thapa, S., Rad, D., ... & Adhikari, S. (2022). Perspectives of scholars on the origin, spread and consequences of COVID-19 are diverse but not polarized. Humanities and Social Sciences Communications, 9(1), 1-11.
38. Rad, D., Redeş, A., Roman, A., Ignat, S., Lile, R., Demeter, E., ... & Rad, G. (2022). Pathways to inclusive and equitable quality early childhood education for achieving SDG4 goal—a scoping review. Frontiers in Psychology, 4306.
39. Abbassy, M. M., & Mohamed, A. A. (2016). Mobile Expert System to Detect Liver Disease Kind”. International Journal of Computer Applications, 14(5), 320–324.
40. Abbassy, Mohamed M. (2020a). Opinion mining for Arabic customer feedback using machine learning. Journal of Advanced Research in Dynamical and Control Systems, 12(SP3), 209–217.
41. Abbassy, Mohamed M. (2020b). The human brain signal detection of health information system in EDSAC: A novel cipher text attribute based encryption with EDSAC distributed storage access control. Journal of Advanced Research in Dynamical and Control Systems, 12(SP7), 858–868.
42. Abbassy, Mohamed M., & Abo-Alnadr, A. (2019). Rule-based emotion AI in Arabic customer review. International Journal of Advanced Computer Science and Applications : IJACSA, 10(9).
43. Abbassy, Mohamed M., & Ead, W. M. (2020). Intelligent Greenhouse Management System. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE.
44. Derindere Köseoğlu, S., Ead, W. M., & Abbassy, M. M. (2022). Basics of Financial Data Analytics. In Financial Data Analytics (pp. 23–57). Cham: Springer International Publishing.
45. Ead, W., & Abbassy, M. (2018). Intelligent systems of machine learning approaches for developing E-services portals. EAI Endorsed Transactions on Energy Web, 167292.
46. Ead, W. M., & Abbassy, M. M. (2021). IOT based on plant diseases detection and classification. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE.
47. Ead, W. M., & Abbassy, M. M. (2022). A general cyber hygiene approach for financial analytical environment. In Financial Data Analytics (pp. 369–384). Cham: Springer International Publishing.
48. Ead, W., Emad, & Abbassy, M. M. (2021). A general framework information loss of utility-based anonymization in data publishing. Turkish Journal of Computer and Mathematics Education, 12(5), 1450–1456.
49. Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2013). Mobile Hospitalization. International Journal of Computer Applications, 80(13), 18–23.
50. Khalifa, I., Abd Al-glil, H., & M. Abbassy, M. (2014). Mobile Hospitalization for Kidney Transplantation. International Journal of Computer Applications, 92(6), 25–29.
51. Mohamed, & Mesbah, S. (2016). Effective e-government and citizens adoption in Egypt. International Journal of Computer Applications, 133(7), 7–13.
52. Sadek, R. A., Abd-alazeem, D. M., & Abbassy, M. M. (2021). A new energy-efficient multi-hop routing protocol for heterogeneous wireless sensor networks. International Journal of Advanced Computer Science and Applications : IJACSA, 12(11).
53. Rad, D., Magulod Jr, G. C., Balas, E., Roman, A., Egerau, A., Maier, R., ... & Chis, R. (2022). A Radial Basis Function Neural Network Approach to Predict Preschool Teachers’ Technology Acceptance Behavior. Frontiers in Psychology, 13.
54. Rad, D., Balas, V. E., Marineanu, V. D., Maier, R. (2021). Digital Wellbeing. Berlin, Germany: Peter Lang Verlag. Retrieved Mar 29, 2022, from https://www.peterlang.com/document/1137170
55. Rad, D., Dughi, T., Maier, R., Egerău, A. (2022). Applied Research in Digital Wellbeing. Berlin, Germany: Peter Lang Verlag. Retrieved Mar 29, 2022, from 10.3726/b19309, https://www.peterlang.com/document/1175495
56. AbdulKader, H., ElAbd, E., & Ead, W. (2016). Protecting Online Social Networks Profiles by Hiding Sensitive Data Attributes. Procedia Computer Science, 82, 20–27.
57. Fattoh, I. E., Kamal Alsheref, F., Ead, W. M., & Youssef, A. M. (2022). Semantic sentiment classification for covid-19 tweets using universal sentence encoder. Computational Intelligence and Neuroscience, 2022, 1–8.
58. Ead, W. M., Abdel-Wahed, W. F., & Abdul-Kader, H. (2013). Adaptive Fuzzy Classification-Rule Algorithm In Detection Malicious Web Sites From Suspicious URLs. Int. Arab. J. E Technol., 3, 1–9.
59. Abdelazim, M. A., Nasr, M. M., & Ead, W. M. (2020). A survey on classification analysis for cancer genomics: Limitations and novel opportunity in the era of cancer classification and Target Therapies. Annals of Tropical Medicine and Public Health, 23(24).
60. Alsheref, F. K., Fattoh, I. E., & M.Ead, W. (2022). Automated prediction of employee attrition using ensemble model based on machine learning algorithms. Computational Intelligence and Neuroscience, 2022, 1–9.
61. Haq, M. A., Azam, M. F., & Vincent, C. (2021). Efficiency of artificial neural networks for glacier ice-thickness estimation: A case study in western Himalaya, India. Journal of Glaciology, 67(264), 671–684.
62. Haq, M. A. (2022). CNN Based Automated Weed Detection System Using UAV Imagery. Computer Systems Science and Engineering, 42(2), 837–849.
63. Haq, M. A., & Khan, M. Y. A. (2022). Crop Water Requirements with Changing Climate in an Arid Region of Saudi Arabia. Sustainability, 14(13554), 1–24.
64. Haq, M. A. (2021). Intellligent sustainable agricultural water practice using multi sensor spatiotemporal evolution. Environmental Technology (United Kingdom).
65. Haq, M. A., Khan, M. A. R., & Alshehri, M. (2022). Insider Threat Detection Based on NLP Word Embedding and Machine Learning. Intelligent Automation and Soft Computing, 33(1), 619–635.
66. Haq, M. A. (2021). Development of PCCNN-Based Network Intrusion Detection System for EDGE Computing. Computers Materials and Continua, 71(1), 1729–1750.
67. Haq, M. A. (2022). Machine Learning-based Classification of Hyperspectral Imagery. International Journal of Computer Science and Network Security, 22(4), 1–10.
68. Haq, M. A., & Ahmed, A. (2022). On Interesting Correlation between Meteorological Parameters and COVID-19 Pandemic in Saudi Arabia. International Journal of Computer Science and Network Security, 22(4), 1–10.
69. Haq, M. A. (2022). Planetscope Nanosatellites Image Classification Using Machine Learning. Computer Systems Science and Engineering, 42(3), 1031–1046.
70. Haq, M. A., Baral, P., Yaragal, S., & Pradhan, B. (2021). Bulk processing of multi‐temporal modis data, statistical analyses and machine learning algorithms to understand climate variables in the indian himalayan region. Sensors, 21(21).
71. Haq, M. A. (2021). Deep Learning Based Modeling of Groundwater Storage Change. Computers Materials and Continua, 70(3), 4599–4617.
72. R. Oak, M. Du, D. Yan, H. Takawale, and I. Amit, “Malware detection on highly imbalanced data through sequence modeling,” in Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security - AISec’19, 2019.
73. Haq, M. A., Jain, K., & Menon, K. P. R. (2014). Modelling of Gangotri glacier thickness and volume using an artificial neural network. International Journal of Remote Sensing, 35(16), 6035–6042.
74. Haq, M. A., Baral, P., Yaragal, S., & Rahaman, G. (2020). Assessment of trends of land surface vegetation distribution, snow cover and temperature over entire Himachal Pradesh using MODIS datasets. Natural Resource Modeling, 33(2).
75. Srinath Venkatesan, “Design an Intrusion Detection System based on Feature Selection Using ML Algorithms”, MSEA, vol. 72, no. 1, pp. 702–710, Feb. 2023
76. Srinath Venkatesan, “Identification Protocol Heterogeneous Systems in Cloud Computing”, MSEA, vol. 72, no. 1, pp. 615–621, Feb. 2023.
77. Cristian Laverde Albarracín, Srinath Venkatesan, Arnaldo Yana Torres, Patricio Yánez-Moretta, Juan Carlos Juarez Vargas, “Exploration on Cloud Computing Techniques and Its Energy Concern”, MSEA, vol. 72, no. 1, pp. 749–758, Feb. 2023.
78. Srinath Venkatesan, “Perspectives and Challenges of Artificial Intelligence Techniques in Commercial Social Networks”Volume 21, No 5 (2023).
79. Srinath Venkatesan, Zubaida Rehman, “The Power Of 5g Networks and Emerging Technology and Innovation: Overcoming Ongoing Century Challenges” Ion exchange and adsorption, Volume 23, Issue 1, 2023.
80. Srinath Venkatesan, “Challenges of Datafication: Theoretical, Training, And Communication Aspects of Artificial Intelligence” Ion exchange and adsorption. Volume 23, Issue 1, 2023.
81. Giovanny Haro-Sosa , Srinath Venkatesan, “Personified Health Care Transitions With Automated Doctor Appointment System: Logistics”, Journal of Pharmaceutical Negative Results, pp. 2832–2839, Feb. 2023
82. Srinath Venkatesan, Sandeep Bhatnagar, José Luis Tinajero León, "A Recommender System Based on Matrix Factorization Techniques Using Collaborative Filtering Algorithm", neuroquantology, vol. 21, no. 5, pp. 864-872, march 2023.
83. Srinath Venkatesan, "Utilization of Media Skills and Technology Use Among Students and Educators in The State of New York", Neuroquantology, Vol. 21, No 5, pp. 111-124, (2023).
84. Srinath Venkatesan, Sandeep Bhatnagar, Iván Mesias Hidalgo Cajo, Xavier Leopoldo Gracia Cervantes, "Efficient Public Key Cryptosystem for wireless Network", Neuroquantology, Vol. 21, No 5, pp. 600-606, (2023).
85. A. R. Yeruva and V. B. Ramu, “Optimising AIOps system performance for e-commerce and online retail businesses with the ACF model,” Int. J. Intellect. Prop. Manag., vol. 1, no. 1, p. 1, 2022.
86. V. B. Ramu and A. R. Yeruva, “AIOps research innovations, performance impact and challenges faced,” Int. J. Syst. Syst. Eng., vol. 13, no. 3, p. 1, 2023.
87. Rathi, S., Chaturvedi, S., Abdullah, S., Rajput, G., Alqahtani, N. M., Chaturvedi, M., Gurumurthy, V., Saini, R., Bavabeedu, S. S., & Minervini, G. (2023). Clinical Trial to Assess Physiology and Activity of Masticatory Muscles of Complete Denture Wearer Following Vitamin D Intervention. Medicina, 59(2), 410.
88. Kaur, K., Suneja, B., Jodhka, S., Saini, R. S., Chaturvedi, S., Bavabeedu, S. S., Alhamoudi, F. H., Cicciù, M., & Minervini, G. (2023). Comparison between Restorative Materials for Pulpotomised Deciduous Molars: A Randomized Clinical Study. Children, 10(2), 284.
89. Kumar A, Saini RS, Sharma V , Rai R U , Gupta P, Sabharwal P ( 2021) , Assessment of Pattern of Oral Prosthetic Treatment and Prevalence of Oral Diseases in Edentulous Patients in North Indian Population: A Cross-sectional Study. J Pharm Bioallied Sci. 2021 Jun; 13(Suppl 1): S187–S189.
90. Solanki, J., Jain, R., Singh, R., Gupta, S., Arya, A., & Tomar, D. (2015). Prevalence of Osteosclerosis Among Patients Visiting Dental Institute in Rural Area of Western India. Journal of clinical and diagnostic research : JCDR, 9(8), ZC38–ZC40.
91. Alshadidi, A. A. F., Alshahrani, A. A., Aldosari, L. I. N., Chaturvedi, S., Saini, R. S., Hassan, S. A. B., Cicciù, M., & Minervini, G. (2023). Investigation on the Application of Artificial Intelligence in Prosthodontics. Applied Sciences, 13(8), 5004.
92. Mohamed J. Saadh, Andrés Alexis Ramírez-Coronel, Ravinder Singh Saini, José Luis Arias-Gonzáles, Ali H. Amin, Juan Carlos Orosco Gavilán & Ioan Sârbu ( 2023) Advances in mesenchymal stem/stromal cell-based therapy and their extracellular vesicles for skin wound healing .Human Cell (2023).
93. V. Bansal, S. Pandey, S. K. Shukla, D. Singh, S. A. Rathod and J. L. A. Gonzáles, "A Frame Work of Security Attacks, Issues Classifications and Configuration Strategy for IoT Networks for the Successful Implementation," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 1336-1339.
94. V. Gunturu, V. Bansal, M. Sathe, A. Kumar, A. Gehlot and B. Pant, "Wireless Communications Implementation Using Blockchain as Well as Distributed Type of IOT," 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 979-982.
95. V. Suthar, V. Bansal, C. S. Reddy, J. L. A. Gonzáles, D. Singh and D. P. Singh, "Machine Learning Adoption in Blockchain-Based Smart Applications," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 372-378.
96. D. Uike, S. Agarwalla, V. Bansal, M. K. Chakravarthi, R. Singh and P. Singh, "Investigating the Role of Block Chain to Secure Identity in IoT for Industrial Automation," 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2022, pp. 837-841.
97. S. Sonnad, M. Sathe, D. K. Basha, V. Bansal, R. Singh and D. P. Singh, "The Integration of Connectivity and System Integrity Approaches using Internet of Things (IoT) for Enhancing Network Security," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 362-366.
98. Kaur, L., & Shah, S. (2022). Production of bacterial cellulose by Acetobacter tropicalis isolated from decaying apple waste. Asian Journal of Chemistry, 34(2), 453–458.
99. Kaur, L., & Shah, S. (2022). Screening and characterization of cellulose-producing bacterial strains from decaying fruit waste. International Journal of Food and Nutritional Science, 11, 8–14.
100. Verma,S & Kaur,L. . (2018). Identification Of Waste Utilizing Bacteria From Fruit Waste. Global Journal for Research Analysis Volume-7(6, June)
101. Kaur, L., & Singh, N., Effect of mustard oil and process variables extrusion behavior of rice grits (2000). Journal Of Food Science And Technology. Mysore, 37, 656–660.
102. Thapar, Lakhvinder. (2017). Bulk And Nano-Zinc Oxide Particles Affecting Physio-Morphological Properties Of Pisum Sativum. International Journal Of Research In Engineering And Applied Sciences (IJREAS).
103. Mathew, Sneha & Thapar, Lakhvinder. (2019). Estimation of Protein Intake on the Basis of Urinary Urea Nitrogen in Patients with Non-Alcoholic Fatty Liver. International Journal for Research in Applied Science and Engineering Technology. 7. 2321-9653.
104. Thapar, Lakhvinder. (2017). Fermentation Potential Of Prebiotic Juice Obtained From Natural Sources. International Journal Of Advanced Research. 5. 1779-1785.
105. Mittal, Srishty & Thapar, Lakhvinder. (2019). Vitamin D Levels Between The Tuberculosis Infected And Non – Infected Subjects In 16-25 Years Of Age.
106. Praveen Kumar Sharma, Sushil Sharma, Common fixed point for weakly compatible maps in intuitionistic fuzzy metric spaces using property (S-B)”, Journal of Non-linear Analysis Optimization and Theory, Vol 5, No.2 (2014), 105-117.
107. Praveen Kumar Sharma, Sushil Sharma, Common fixed point theorem in intuitionistic fuzzy metric space under strict contractive conditions", Journal of Non-linear Analysis Optimization and Theory Vol 3 No.2 (2012), 161-169.
108. Praveen Kumar Sharma, Common fixed points for weakly compatible maps in intuitionistic fuzzy metric spaces using the property (CLRg)”, International Knowledge Press, Asian Journal of Mathematics & Computer Research, Vol 6, No.2 (2015), 138-150.
109. Praveen Kumar Sharma, Shivram Sharma, Common Fixed Point Theorems for Six Self Maps in FM-Spaces Using Common Limit in Range Concerning Two Pairs of Products of Two Different Self-maps”, Revista Geintec-Gestao Inovacao E Tecnologias, Vol 11, No. 4 (2021), 5634-5642.
110. Shivam Sharma, Praveen Kumar Sharma,A study of SIQR model with Holling type–II incidence rate”, Malaya Journal of Matematik, Vol. 9, No. 1, 305-311.
111. D. S. Das, D. Gangodkar, R. Singh, P. Vijay, A. Bhardwaj and A. Semwal, "Comparative Analysis of Skin Cancer Prediction using Neural Networks and Transfer Learning," 2022 5th International Conference on Contemporary Computing and Informatics (IC3I), Uttar Pradesh, India, 2022, pp. 367-371.
112. A. Bhardwaj, J. Pattnayak, D. Prasad Gangodkar, A. Rana, N. Shilpa and P. Tiwari, "An Integration of Wireless Communications and Artificial Intelligence for Autonomous Vehicles for the Successful Communication to Achieve the Destination," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 748-752.
113. A. Bhardwaj, S. Rebelli, A. Gehlot, K. Pant, J. L. A. Gonzáles and F. A., "Machine learning integration in Communication system for efficient selection of signals," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 1529-1533.
114. A. Bhardwaj, R. Raman, J. Singh, K. Pant, N. Yamsani and R. Yadav, "Deep Learning-Based MIMO and NOMA Energy Conservation and Sum Data Rate Management System," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 866-871.
115. V. Bansal, A. Bhardwaj, J. Singh, D. Verma, M. Tiwari and S. Siddi, "Using Artificial Intelligence to Integrate Machine Learning, Fuzzy Logic, and The IOT as A Cybersecurity System," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 762-769.
116. A. Chaturvedi, A. Bhardwaj, D. Singh, B. Pant, J. L. A. Gonzáles and F. A., "Integration of DL on Multi-Carrier Non-Orthogonal Multiple Access System with Simultaneous Wireless Information and Power Transfer," 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2022, pp. 640-643.
117. A. Uthiramoorthy, A. Bhardwaj, J. Singh, K. Pant, M. Tiwari and J. L. A. Gonzáles, "A Comprehensive review on Data Mining Techniques in managing the Medical Data cloud and its security constraints with the maintained of the communication networks," 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 618-623.
118. T, Shynu, S. S. Rajest, R. Regin, and Steffi. R. 2023. “OTP As a Service in the Cloud Allows for Authentication of Multiple Services”. International Journal on Orange Technologies 5 (4), 94-112.
119. Regin, R., S. Suman Rajest, Shynu T, and Steffi. R. (2023). “Electronic Tourism as A Destination Marketing Strategy for World Travellers”. Central Asian Journal of Mathematical Theory and Computer Sciences. 4 (5), 9-28.
120. S. Suman Rajest, Shynu T, R. Regin*, & Steffi. R. (2023). An Individualized Recommendation and Promotional System for Tourist Attractions. Central Asian Journal of Theoretical and Applied Science, 4(5), 64-84. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/1162
121. R, Steffi., S. Suman Rajest, R. Regin, and Shynu T. 2023. “Detection Of Prominent Objects by The Use of Deep Learning”. Central Asian Journal of Mathematical Theory and Computer Sciences 4 (5), 62-82.
122. Regin, R., S. Suman Rajest, Shynu T, and Steffi. R. 2023. “Principal Component Analysis for ATM Facial Recognition Security”. Central Asian Journal of Medical and Natural Science 4 (3), 292-311.
123. T, Shynu, S. Suman Rajest, R. Regin, and Steffi. R. (2023). “Analysis of the Impact of Employee Training and Development on Performance”. Central Asian Journal of Innovations on Tourism Management and Finance 4 (6), 1-25.
124. Steffi. R, S. S. Rajest, R. Regin, Shynu T, & S. S. Priscila. (2023). Analysis of an Interview Based on Emotion Detection Using Convolutional Neural Networks. Central Asian Journal of Theoretical and Applied Science, 4(6), 78-102.
125. S. Silvia Priscila, S. Suman Rajest, R. Regin, Shynu T, & Steffi. R. (2023). Classification of Satellite Photographs Utilizing the K-Nearest Neighbor Algorithm. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(6), 53-71.
126. S. Suman Rajest, S. Silvia Priscila, R. Regin, Shynu T, & Steffi. R. (2023). Application of Machine Learning to the Process of Crop Selection Based on Land Dataset. International Journal on Orange Technologies, 5(6), 91-112.
127. Suman Rajest, S., Regin, R., Y, A., Paramasivan, P., Christabel, G. J. A., & T, Shynu. (2023). The Analysis of How Artificial Intelligence Has an Effect on Teachers and The Education System. EAI Endorsed Transactions on E-Learning, 9(4), 1-10.
128. 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.
129. 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.
130. 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.
131. Haq, M. A., Rahaman, G., Baral, P., & Ghosh, A. (2020). Deep Learning Based Supervised Image Classification Using UAV Images for Forest Areas Classification. Journal of the Indian Society of Remote Sensing., 49.
132. Baral, P., & Haq, M. A. (2020). Spatial prediction of permafrost occurrence in Sikkim Himalayas using logistic regression, random forests, support vector machines and neural networks. Geomorphology, 371, 107331.
Published
2023-12-31
How to Cite
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. Retrieved from https://journals.researchparks.org/index.php/IJOT/article/view/5126
Section
Articles
