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2. Selvan, M. A. (2024). IoT-Integrated Smart Home Technologies with Augmented Reality for Improved User Experience.
3. Selvan, M. A. (2024). Multipath Routing Optimization for Enhanced Load Balancing in Data-Heavy Networks.
4. Selvan, M. A. (2024). Transforming Consumer Behavior Analysis with Cutting-Edge Machine Learning.
5. Selvan, M. A. (2023). INDUSTRY-SPECIFIC INTELLIGENT FIRE MANAGEMENT SYSTEM.
6. Selvan, M. A. (2023). FIRE MANAGEMENT SYSTEM FOR INDUTRIAL SAFETY APPLICATIONS.
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8. Selvan, M. A. (2023). A PBL REPORT FOR CONTAINMENT ZONE ALERTING APPLICATION.
9. Rajagopal, R. K. P. M. T. K. R., Karthick, R., Meenalochini, P., & Kalaichelvi, T. (2023). Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images. Biomedical Signal Processing and Control, 79, 104197.
10. Karthick, R., & Sundararajan, M. (2021). SPIDER-based out-of-order execution scheme for Ht-MPSOC. International Journal of Advanced Intelligence paradigms, 19(1), 28-41.
11. Karthick, R., & Meenalochini, P. (2020). Implementation of data cache block (DCB) in shared processor using field-programmable gate array (FPGA). Journal of the National Science Foundation of Sri Lanka, 48(4), 475.
12. Karthick, R., & Sundararajan, M. (2017). Design and implementation of low power testing using advanced razor based processor. International Journal of Applied Engineering Research, 12(17), 6384-6390.
13. Karthick, R., & Sundararajan, M. (2018). A novel 3-D-IC test architecture-a review. International Journal of Engineering and Technology (UAE), 7(1), 582-586.
14. Karthick, R., Senthilselvi, A., Meenalochini, P., & Senthil Pandi, S. (2022). Design and analysis of linear phase finite impulse response filter using water strider optimization algorithm in FPGA. Circuits, Systems, and Signal Processing, 41(9), 5254-5282.
15. Karthick, R. R. M. A. M. V. K. R., Ramkumar, R., Akram, M., & Kumar, M. V. (2021). Overcome the challenges in bio-medical instruments using IOT–A review. Materials Today: Proceedings, 45, 1614-1619.
16. Karthick, R., & Sundararajan, M. (2017). PSO based out-of-order (ooo) execution scheme for HT-MPSOC. Journal of Advanced Research in Dynamical and Control Systems, 9(6), 1969-1986.
17. Karthick, R., & Sundararajan, M. (2017). A Reconfigurable Method for TimeCorrelatedMimo Channels with a Decision Feedback Receiver. International Journal of Applied Engineering Research, 12(15), 5234-5241.
18. Meenalochini, P., Karthick, R., & Sakthivel, E. (2023). An Efficient Control Strategy for an Extended Switched Coupled Inductor Quasi-Z-Source Inverter for 3Φ Grid Connected System. Journal of Circuits, Systems & Computers, 32(11).
19. Karthick, R., Senthilselvi, A., Meenalochini, P., & Senthil Pandi, S. (2023). An optimal partitioning and floor planning for VLSI circuit design based on a hybrid bio-inspired whale optimization and adaptive bird swarm optimization (WO-ABSO) algorithm. Journal of Circuits, Systems and Computers, 32(08), 2350273.
20. Reka, R., Karthick, R., Ram, R. S., & Singh, G. (2024). Multi head self-attention gated graph convolutional network based multi attack intrusion detection in MANET. Computers & Security, 136, 103526.
21. Vijayalakshmi, S., Sivaraman, P. R., Karthick, R., & Ali, A. N. (2020, September). Implementation of a new Bi-Directional Switch multilevel Inverter for the reduction of harmonics. In IOP Conference Series: Materials Science and Engineering (Vol. 937, No. 1, p. 012026). IOP Publishing.
22. Jasper Gnana Chandran, J., Karthick, R., Rajagopal, R., & Meenalochini, P. (2023). Dual-channel capsule generative adversarial network optimized with golden eagle optimization for pediatric bone age assessment from hand X-ray image. International Journal of Pattern Recognition and Artificial Intelligence, 37(02), 2354001.
23. Sabarish, P., Karthick, R., Sindhu, A., & Sathiyanathan, N. (2021). Investigation on performance of solar photovoltaic fed hybrid semi impedance source converters. Materials Today: Proceedings, 45, 1597-1602.
24. Nagarani, N., Karthick, R., Sophia, M. S. C., & Binda, M. B. (2024). Self-attention based progressive generative adversarial network optimized with momentum search optimization algorithm for classification of brain tumor on MRI image. Biomedical Signal Processing and Control, 88, 105597.
25. Suresh, H. R., Vinitha, V., Girinath, N., & Karthick, R. (2021). Suppression of four wave mixing effect in DWDM system. Materials Today: Proceedings, 45, 2707-2712.
26. Sabarish, P., Raj, L. H. T., Ramprakash, G., & Karthick, R. (2020, September). An Energy Efficient Microwave Based Wireless Solar Power Transmission System. In IOP Conference Series: Materials Science and Engineering (Vol. 937, No. 1, p. 012013). IOP Publishing.
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28. Karthick, R., Prabaharan, A. M., & Selvaprasanth, P. (2019). Internet of things based high security border surveillance strategy. Asian Journal of Applied Science and Technology (AJAST) Volume, 3, 94-100.
29. Suja, S. (2012). WOMEN EMPOWERMENT THROUGH SELF-HELP GROUP-AN EVALUATIVE STUDY. Global Management Review, 6(3).
30. Cavaliere, L. P. L., Khan, R., Sundram, S., Jainani, K., Bagale, G., Chakravarthi, M. K., … & Rajest, S. S. (2021). The Impact of customer relationship management on customer satisfaction and retention: The mediation of service quality. Turkish Journal of Physiotherapy and Rehabilitation, 32(3), 22107-22121.
31. Sundram, S., Venkateswaran, P. S., Jain, V., Yu, Y., Yapanto, L. M., Raisal, I., … & Regin, R. (2020). The impact of knowledge management on the performance of employees: The case of small medium enterprises. Productivity Management, 25(1), 554-567.
32. Sundram, S., Chauhan, H., Muda, I., Effendy, F., Choubey, S., & Patni, I. (2022). The effects of electronic word-of-mouth (E-WOM) on integrated results and destination picture of traditional image of tourists. Webology, 19(1), 4847-4866.
33. Venkateswaran, P. S., & Sundram, S. (2021). Impact of Retail Service Quality and Store Service Quality on Patronage Intention towards Organized Retail Industry. Turkish Journal of Computer and Mathematics Education Vol, 12(3), 1462-1471.
34. Sundram, D. S., & Kavitha, D. P. (2021). A Review On Customer Service Quality in Big Bazaar Tirupur. Int. J. of Aquatic Science, 12(3), 1867-1876.
35. Sundram, S., Raman, M. S., & Balamuralitharan, S. (2023). Influence of process parameters on machining studies on stir casted MMCs with AA6351 and TiO2 by grey and desirability approaches. Materials Today: Proceedings, 77, 551-556.
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38. Suja Sundram, M. W. M. A. O. (2022). Consumer Perspectives On Grocery Retail Shopping In Saudi Arabia. Journal of Positive School Psychology, 2816-2828.
39. Sundram, S., Kumar, V. R., Muthukrishnan, K. B., Naved, M., Dani, R., & Khatri, E. (2022). The Impact of Entertainment Amenities Availability on Hotel’s Performance. Webology, 19(1), 3989-4005.
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41. Anjani, P. K., Sundram, S., & Abinaya, V. (2020). The impact of COVID-19 on work force in the information technology sector. European Journal of Molecular & Clinical Medicine, 7(2), 3660-3674.
42. Waghmare, G., Sundram, S., Kumar, B., Raman, M. S., Yagnam, N., Motekar, H. S., & Kaushik, D. (2023). Blockchain in Supply Chain Management Prevailing in Smart Cities: Prospects and Approaches. In Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities (pp. 117-137). IGI Global.
43. Sundram, S., Tambvekar, S. E., Sekar, S., Tiwari, S. K., & Gopinathan, R. (2022). The effect of service quality on patient loyalty mediated by patient satisfaction. Journal of Pharmaceutical Negative Results, 1393-1400.
44. Khemraj, S., Thepa, P., Chi, A. P. D. H., Wu, W., & Samanta, S. (2022). Sustainable Wellbeing Quality of Buddhist Meditation Centre Management During Coronavirus Outbreak (COVID-19) in Thailand Using the Quality Function Deployment (QFD), and KANO Analysis. Journal of Positive School Psychology, 845-858.
45. Thepa, P. C. A., Khemraj, S., Khethong, P. K. S., Saengphrae, J., Chi, A. P. D. H., & Wu, W. Y. (2022). The Promoting Mental Health through Buddhadhamma for Members of the Elderly Club in Nakhon Pathom Province, Thailand. Turkish Journal of Physiotherapy and Rehabilitation, 32(3), 33334-33345.
46. Khemraj, S., Thepa, P. C. A., Patnaik, S., Chi, H., & Wu, W. Y. (2022). Mindfulness Meditation and Life Satisfaction Effective on Job Performance. NeuroQuantology, 20(1), 830-841.
47. Khemraj, S., Thepa, P. C. A., Chi, H., Wu, W. Y., Samanta, S., & Prakash, J. (2021). Prediction of world happiness scenario effective in the period of COVID-19 pandemic, by artificial neuron network (ANN), support vector machine (SVM), and regression tree (RT). NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal| NVEO, 13944-13959.
48. Khemraj, S., Pettongma, P. W. C., Thepa, P. C. A., Patnaik, S., Wu, W. Y., & Chi, H. (2023). Implementing Mindfulness In The Workplace: A New Strategy For Enhancing Both Individual And Organizational Effectiveness. Journal for ReAttach Therapy and Developmental Diversities, 6(2s), 408-416.
49. Khemraj, S., Pettongma, P. W. C., Thepa, P. C. A., Patnaik, S., Chi, H., & Wu, W. Y. (2023). An Effective Meditation Practice for Positive Changes in Human Resources. Journal for ReAttach Therapy and Developmental Diversities, 6(3s), 1077-1087.
50. Trung, N. T., Phattongma, P. W., Khemraj, S., Ming, S. C., Sutthirat, N., & Thepa, P. C. (2022). A Critical Metaphysics Approach in the Nausea Novel’s Jean Paul Sartre toward Spiritual of Vietnamese in the Vijñaptimātratā of Yogācāra Commentary and Existentialism Literature. Journal of Language and Linguistic Studies, 17(3).
51. Khemraj, S., Thepa, P. C. A., & Chi, H. (2021). Phenomenology In Education Research: Leadership Ideological. Webology (ISSN: 1735-188X), 18(5).
52. Bhujell, K., Khemraj, S., Chi, H. K., Lin, W. T., Wu, W., & Thepa, P. C. A. (2021). Trust in the Sharing Economy: An Improvement in Terms of Customer Intention. Indian Journal of Economics and Business, 20(1), 713-730.
53. Khemraj, S., Wu, W. Y., & Chi, A. P. D. H. (2024). Evolution of Marketing Strategies in the Tourism Industry. Intersecta Minds Journal, 3(2), 44-61.
54. Chen, Y. M., Huang, K. C., & Khemraj, S. (2024). Praxis International Journal of Social Science and Literature.
55. Patnaik, S., Selvanayagam, N., Khemraj, S., Sadiq, F. U., Wu, W. Y., & Chi, H. (2023). Anxiety And Performance: An Insight From Cognitive Behavioral Angle. Journal for ReAttach Therapy and Developmental Diversities, 6(3s), 785-795.
56. Khemraj, S. (2023). Enhancing Competitive Advantage through Learning Capabilities and Innovative Human Resource Management. Intersecta Minds Journal, 2(1), 26-41.
57. Khemraj, S., Wu, W. Y., & Chi, A. P. D. H. (2023). Analysing The Correlation Between Managers’ Leadership Styles And Employee Job Satisfaction. Migration Letters, 20(S12), 912-922.
58. Khemraj, S., Chi, H., Wu, W. Y., & Thepa, P. C. A. (2022). Foreign Investment Strategies, Performance and Risk Management in Emerging Economy. resmilitaris, 12(6), 2611-2622.
59. Khemraj, S., Wu, W. Y., & Chi, H. Social Science, Arts and Humanities, Business, Management, and Education. Dr. Sharma Khemraj.
60. Singh, V., Sharma, M. P., Jayapriya, K., Kumar, B. K., Chander, M. A. R. N., & Kumar, B. R. (2023). Service quality, customer satisfaction and customer loyalty: A comprehensive literature review. Journal of Survey in Fisheries Sciences, 10(4S), 3457-3464.
61. Chatterjee, R., Singh, A., & Singh, V. (2022). Ethical and Sustainable Perceptions on Cloud Kitchen Business-A Study of Consumers and Stakeholders during the Covid-19 Pandemic. International Journal of Hospitality and Tourism Systems, 15(COVID-19 Issue), 76.
62. Mishra, R., Sharma, M. P., Seth, K., & Singh, V. (2023). A study on consumers’ travel purchase intention through travel apps. Prabandhan: Indian Journal of Management, 16(7), 25-42.
63. Singh, V., & Tharakan, Y. G. (2020). Marketing Trends in Food Tourism to Attract International Tourists in Delhi Hotels. Studies in Indian Place Names (UGC Care Journal) ISSN, 2394-3114.
64. Mishra, R., & Singh, V. (2022). A study on destination loyalty of tourists at the UNESCO world heritage site: A case study of old Goa in India.
65. Sakhuja Sharma, A. (2022). An Empirical Study To Assimilate The Perceptual Gaps Among The Hospitality Stakeholders Regarding The Academic Learning Processes Followed By The Private Hotel Management Colleges In Karnataka. Webology (ISSN: 1735-188X), 19(2).
66. CARE, A. U. A STUDY OF FOOD PROTECTION AND SANITATION AWARENESS AND PRACTICES BY HOTEL MANAGEMENT STUDENTS IN DELHI NCR.
67. Sundram, S., Kushwaha, A., Mylapalli, S., Latwal, G. S., Singh, V., & Jaswal, R. INVESTIGATING THE RELATIONSHIP BETWEEN ATTACHMENT STYLE AND MANNER OF MOBILE PHONE USAGE AMONG STUDENTS.
68. Kumari, M. J. P. Community Perception of Initiatives Promoting Community-Based Tourism.
69. Singh, C. V., & Sharma, H. The Impact and Challenges of Hospitality Sector Post Covid-19. Perspectives, Patterns and Practices, 207.
70. Sharma, H., & Singh, C. V. Operational Considerations for Hotel Industry Post COVID-19. Perspectives, Patterns and Practices, 183.
71. Thakur, S., Kulshrestha, R., & Singh, C. V. Perspectives, Patterns and Practices.
72. Saravanan, V., Rajakumar, S., Banerjee, N., & Amuthakkannan, R. (2016). Effect of shoulder diameter to pin diameter ratio on microstructure and mechanical properties of dissimilar friction stir welded AA2024-T6 and AA7075-T6 aluminum alloy joints. The International Journal of Advanced Manufacturing Technology, 87, 3637-3645.
73. Saravanan, V., Banerjee, N., Amuthakkannan, R., & Rajakumar, S. (2015). Microstructural evolution and mechanical properties of friction stir welded dissimilar AA2014-T6 and AA7075-T6 aluminum alloy joints. Metallography, Microstructure, and Analysis, 4, 178-187.
74. Abdulkarem, W., Amuthakkannan, R., & Al-Raheem, K. F. (2014, March). Centrifugal pump impeller crack detection using vibration analysis. In 2nd International Conference on Research in Science, Engineering and Technology (pp. 206-211).
75. Amuthakkannan, R., Kannan, S. M., Selladurai, V., & Vijayalakshmi, K. (2008). Software quality measurement and improvement for real-time systems using quality tools and techniques: a case study. International Journal of Industrial and Systems Engineering, 3(2), 229-256.
76. Vijayalakshmi, K., Ramaraj, N., & Amuthakkannan, R. (2008). Improvement of component selection process using genetic algorithm for component-based software development. International Journal of Information Systems and Change Management, 3(1), 63-80.
77. Amuthakkannan, R. (2012). Parameters design and performance analysis of a software-based mechatronics system using Taguchi robust design–a case study. International Journal of Productivity and Quality Management, 10(1), 1-24.
78. Amuthakkannan, R., Kannan, S. M., Vijayalakshmi, K., & Ramaraj, N. (2009). Reliability analysis of programmable mechatronics system using Bayesian approach. International Journal of Industrial and Systems Engineering, 4(3), 303-325.
79. Saravanan, V., Banerjee, N., Amuthakkannan, R., & Rajakumar, S. (2015). Microstructure and mechanical properties of friction stir welded joints of dissimilar AA6061-T6 and AA7075-T6 aluminium alloys. Applied Mechanics and Materials, 787, 350-354.
80. Senthilkumar, M., Somasundaram, S., & Amuthakkannan, R. (2009). Power aware multiple QoS constraints routing protocol with mobility prediction for MANET. International Journal of Information Systems and Change Management, 4(2), 156-170.
81. Amuthakkannan, R., Kannan, S. M., Vijayalakshmi, K., & Jayabalan, V. (2007). Managing change and reliability of distributed software system. International Journal of Information Systems and Change Management, 2(1), 30-49.
82. Amuthakkannan, R., Babu, C. K., & Kannan, S. M. (2010). An approach to the minimisation of makespan in the textile industry using ant colony optimisation. International Journal of Services and Operations Management, 7(2), 215-230.
83. Jose, J., & Amuthakkannan, R. (2014). Design, Development and Analysis of FDM based Portable Rapid Prototyping Machine. International Journal of Latest Trends in Engineering and Technology (IJLTET), 4(4), 324-232.
84. Babu, V. S., Amuthakkannan, R., Kumar, S. S., & Muruganandam, A. (2013). Optimal cutting parameters estimation to improve surface finish in turning operation in AISI 1045 using Taguchi’s robust design. International Journal of Industrial and Systems Engineering, 15(1), 19-36.
85. Vijayalakshmi, K., Ramaraj, N., Amuthakkannan, R., & Kannan, S. M. (2007). A new algorithm in assembly for component-based software using dependency chart. International Journal of Information Systems and Change Management, 2(3), 261-278.
86. Amuthakkannan, R., Kannan, S. M., Vijayalakshmi, K., & Ramaraj, N. (2009). Reliability analysis of programmable mechatronics system using Bayesian approach. International Journal of Industrial and Systems Engineering, 4(3), 303-325.
87. Amuthakkannan, R., Vijayalakshmi, K., Al Araimi, S., & Ali Saud Al Tobi, M. (2023). A review to do fishermen boat automation with artificial intelligence for sustainable fishing experience ensuring safety, security, navigation and sharing information for Omani fishermen. Journal of Marine Science and Engineering, 11(3), 630.
88. Palaniappan, A., Muthiah, R., & Sundaram, M. T. (2023). ZigBee enabled IoT based intelligent lane control system for autonomous agricultural electric vehicle application. SoftwareX, 23, 101512.
89. Anbu, S., Senthilkumar, M., & Murugesh, T. S. (2022). Design of a multiloop controller for a nonlinear process. International Journal of Advanced Computer Science and Applications, 13(4).
90. Arunkumar, P. L., Ramaswamy, M., & Murugesh, T. S. (2022). IoT based speed control for semi-autonomous electric on-road cargo vehicle. International Journal of Advanced Computer Science and Applications, 13(3).
91. Mohanraj, S., Murugesh, T. S., & Senthilkumar, M. (2021). Design of decentralized controller for coupled tank system using BLT method. Materials Today: Proceedings, 46, 11198-11201.
92. Akshay, B. R., Pulari, S. R., Murugesh, T. S., & Vasudevan, S. K. (2024). Machine Learning: A Comprehensive Beginner’s Guide. CRC Press.
93. Ramakrishnan, A. B., Murugesh, T. S., Pulari, S. R., & Vasudevan, S. K. (2024). Cognitive Analytics‐Based Diagnostic Solutions in Healthcare Infrastructure. Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications, 239-252.
94. Jayanthi, S., Raja, P., Elangovan, M., & Murugesh, T. S. (2024). Single ended 12T cntfet sram cell with high stability for low power smart device applications. e-Prime-Advances in Electrical Engineering, Electronics and Energy, 7, 100479.
95. Vasudevan, S. K., Murugesh, T. S., Narassima, M. S., Dantu, N. V., Pulari, S., & Muralidharan, S. (2023). A Deep Learning Approach for the Sales Prediction in Retail Stores: An End-to-End Analysis and Implementation. In Internet of Everything for Smart City and Smart Healthcare Applications (pp. 17-34). Cham: Springer Nature Switzerland.
96. Ramakrishnan, A. B., Vasudevan, S. K., Murugesh, T. S., & Pulari, S. R. (2023). Enhancing multiclass classification of knee osteoarthritis severity grades using oneDNN. International Journal of Bioinformatics Research and Applications, 19(3), 200-212.
97. Chegu, S. K., Murugesh, T. S., & Sivaraman, E. (2023). Grey wolf optimization based controller design for a two tank system. Energies, 12(7), 4019-4028.
98. Mohanraj, S., Murugesh, T. S., & Sivaraman, E. (2023). A novel meta-heuristic grey wolf optimization algorithm for a coupled tank system. Journal of Data Acquisition and Processing, 38(1), 925.
99. Juluru, A., Vasudevan, S. K., & Murugesh, T. S. (2022). Let’s Get IoT-fied!: 30 IoT Projects for All Levels. CRC Press.
100. Narmatha, R., Murugesh, T. S., & Krishnan, J. (2014). Design of an Intelligent Control Scheme for Synchronizing Two Coupled Van Der Pol Oscillators. International Journal of ChemTech Research, 6(12), 5033-5048.
101. Murugesh, T. S., Vasudevan, S. K., & Pulari, S. R. (2024). Python: A Practical Learning Approach. CRC Press.
102. Ahamed, S. K., Naidu, M. M., & Reddy, C. S. R. (2015). Outliers in data envelopment analysis. International Journal of Computer Science and Security (IJCSS), 9(3), 164-173.
103. Ahamed, S. K., Naidu, M. M., & Subba, R. R. C. (2016). Outliers: most influential observations in variable returns to scale data envelopment analysis. Indian Journal of Science and Technology, 9(2), 1-7.
104. Ahamed, S. K., Krishna, B. V., & David, D. B. (2021). Brain Tumor Segmentation and Classification based on Deep Learning-Based Inception Networks. Annals of the Romanian Society for Cell Biology, 5210-5219.
105. Ahamed, S. K., Naidu, M. M., & Reddy, C. S. R. (2015). Most influential observations-Super efficiency. International Journal on Computer Science and Engineering, 7(9), 82.
106. Sirajuddin, M., Ravela, C., Krishna, S. R., Ahamed, S. K., Basha, S. K., & Basha, N. M. J. (2024). A Secure Framework based On Hybrid Cryptographic Scheme and Trusted Routing to Enhance the QoS of a WSN. Engineering, Technology & Applied Science Research, 14(4), 15711-15716.
107. Balasubramaniam, P. M., Satheesh, N., Guhathakurta, R., Ahamed, S. K., Sharma, D. K., Rangasamy, R., & Sengan, S. (2022). Design of Automotive Accident-Avoidance System at Speed Limit Zone Using GPS. In Innovations in Computer Science and Engineering: Proceedings of the Ninth ICICSE, 2021 (pp. 271-279). Singapore: Springer Singapore.
108. Singuluri, P. K., Basha, S. L. J., Ahamed, S. K., & Nithya, M. (2021, July). An Educated Peer Discovery Expanding Blockchain Framework. In Journal of Physics: Conference Series (Vol. 1964, No. 4, p. 042091). IOP Publishing.
109. Rekha, V., Reddy, L. V., Chaudhari, S. V., Gopi, A., Nithiya, C., & Ahamed, S. K. (2023, January). Automated Deep Learning with Wavelet Neural Network based Rice Plant Classification. In 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) (pp. 345-350). IEEE.
110. Y. W. Bhowte, A. Roy, K. B. Raj, M. Sharma, K. Devi and P. LathaSoundarraj, “Advanced Fraud Detection Using Machine Learning Techniques in Accounting and Finance Sector,” 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Chennai, India, 2024, pp. 1-6, doi: 10.1109/ICONSTEM60960.2024.10568756.
111. V. Chavan, K. Bhavana Raj, N. S, A. K. Bhunia, A. Dadhich and H. Pallathadka, “Integrated Portfolio Management Strategies: Harnessing IoT and Machine Learning for Enhanced Decision-Making,” 2024 International Conference on Science Technology Engineering and Management (ICSTEM), Coimbatore, India, 2024, pp. 1-6, doi: 10.1109/ICSTEM61137.2024.10560711.
112. K. Bhavana Raj; Kamakshi Mehta; Someshwar Siddi; M.K. Sharma; Dilip K. Sharma; Sunil Adhav; José L.A. Gonzáles, “Optimizing Financial Transactions and Processes Through the Power of Distributed Systems,” in Meta-Heuristic Algorithms for Advanced Distributed Systems, Wiley, 2024, pp.289-303, doi: 10.1002/9781394188093.ch17.
113. Grover, R., Raj, K. B., Tiwari, A., Sumant, M., & Naqvi, S. R. (2024). Statistical Quality Control in Manufacturing and Managing Processes for Continuous Improvement of Organisation. International Journal of Central Banking, 20(1).
114. J. R, S. H. Krishna, M. G.M, S. Mohammed, K. B. Raj and G. Manoharan, “Fuzzy Evaluation Method on the Financing Efficiency of Small and Medium-Sized Enterprises,” 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Chennai, India, 2023, pp. 1-7, doi: 10.1109/ICECONF57129.2023.10083731.
115. Bommisetti, R. K., Raj, B. K., Subbalakshmi, A. V. V. S., Shehryar, M., & Hoang, S. D. (2022). Blockchain in Trust with Reputation Management for Financial Stock Market Using Distributed Ledger Technology and Bayesian Theory Based on Fault Tolerance Model. Global Business Review, 1-21. https://doi.org/10.1177/09721509221110371.
116. G. Revathy, K. Bhavana Raj, Anil Kumar, Spurthi Adibatti, Priyanka Dahiya, T.M. Latha, Investigation of E-voting system using face recognition using convolutional neural network (CNN), Theoretical Computer Science, Volume 925, 2022, Pages 61-67, ISSN 0304-3975, https://doi.org/10.1016/j.tcs.2022.05.005.
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Abstract : Wireless Sensor Networks (WSNs) have become increasingly prevalent in various applications, ranging from environmental monitoring to smart cities. However, the limited energy resources of sensor nodes pose significant challenges in maintaining network longevity and data transmission efficiency. Duty-cycled WSNs, where sensor nodes alternate between active and sleep states to conserve energy, offer a solution to these challenges but introduce new complexities in data transmission. This paper presents an optimized approach to aggregated packet transmission in duty-cycled WSNs, utilizing advanced optimization techniques to enhance energy efficiency, reduce latency, and improve network throughput. By aggregating data packets from multiple nodes before transmission, the proposed method minimizes the number of transmissions, thereby conserving energy. Optimization algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) are employed to determine the optimal aggregation and transmission schedules, taking into account factors such as network topology, node energy levels, and data urgency. The proposed approach is validated through extensive simulations, demonstrating significant improvements in energy consumption, packet delivery ratio, and overall network performance. The results suggest that the optimized aggregated packet transmission method can effectively extend the lifespan of duty-cycled WSNs while ensuring reliable data communication. Future work will explore the integration of machine learning techniques for adaptive scheduling and the application of the proposed method to heterogeneous WSNs.
Keyword Duty-Cycled WSNs, Aggregated Packet Transmission, Energy Optimization, Genetic Algorithms (GA), Particle Swarm Optimization (PSO)
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