CLICK - Clever Injection in Customer Keen – Dark Pattern in Digital Ecommerce 16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP) S. Rajasekaran, G. Kousalya Computer Systems Science and Engineering, 2022 The demand for better health services has resulted in the advancement of remote monitoring health, i.e., virtual nursing systems, to watch and support the elderly with innovative concepts such as being patient-centric, easier to use, and having smarter interactions and more accurate conclusions. While virtual nursing services attempt to provide consumers and medical practitioners with continuous medical and health monitoring services, access to allied healthcare experts such as nurses remains a challenge. In this research, we present Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP), a new framework that provides a virtual nurse agent deployed on a senior citizen’s home, workplace, or care centre to help manage their health condition on a continuous basis. Using this method, healthcare providers can assign various jobs to nurses by utilizing a general task definition mechanism, in which a task is defined as a combination of medical workflow, operational guidelines, and data gathered from a remotely monitored virtual nursing system. Practitioners are in charge of DBN-EP and make treatment decisions for patients. This allows a DBN-EP to act as a personalized full-time nurse for a client by carrying out practitioner support activities based on information gathered about the client’s health. An electronic Personal Health Record (ePHR) system, such as a specialized web portal and mobile apps, could provide such patient information to elderly person family members and care centres. We created a prototype system using a DBN-EP system that allows traditional client applications and healthcare provider systems to collaborate. Finally, we demonstrate how this system may benefit the elderly through a result and debate.
Senior Citizen Care using Micro Expression Analysis on Live Elderly Video (MEA-LEV) 13th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2022, 2022
RECENT SCHOLAR PUBLICATIONS
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Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP). S Rajasekaran, G Kousalya Computer Systems Science & Engineering 42 (3) , 2022 2022 Citations: 4
Senior Citizen Care using Micro Expression Analysis on Live Elderly Video (MEA-LEV) S Rajasekaran, G Kousalya Grenze International Journal of Engineering & Technology (GIJET) . 2022 8 (1 … , 2022 2022 Citations: 1
Elderly Care Using Generative Adversarial Networks (GANs) on Deep Video Analysis S Rajasekaran, G Kousalya International Conference on Micro-Electronics and Telecommunication … , 2021 2021
Facial Expression Analysis of Toddlers and Preschool Children using Machine Learning Technique PA Rajsekaran S International Journal of Technical Innovation in Modern Engineering & Science , 2019 2019
Article Digital Extortion: An Empirical Investigation on Ransomware Infection and Countermeasures International Journal of Recent Trends in Engineering and Research , 2018 2018
MOST CITED SCHOLAR PUBLICATIONS
Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP). S Rajasekaran, G Kousalya Computer Systems Science & Engineering 42 (3) , 2022 2022 Citations: 4
Senior Citizen Care using Micro Expression Analysis on Live Elderly Video (MEA-LEV) S Rajasekaran, G Kousalya Grenze International Journal of Engineering & Technology (GIJET) . 2022 8 (1 … , 2022 2022 Citations: 1
Optimized Feature Engineering and Deep A Punidha¹, E Arul, E Yuvarani, S Rajasakaran ICT Systems and Sustainability: Proceedings of ICT4SD 2025, Volume 3 3, 204 , 2025 2025
Graph Neural Networks for Device Driver Malware Detection: A Feature Engineering-Based Approach to Predict Malicious Attacks A Punidha, E Arul, E Yuvarani, S Rajasekaran International Conference on ICT for Sustainable Development, 74-83 , 2025 2025
Detecting Malicious Dark Pattern Codes Using SHAP (Shapley Additive Explanations) Feature Engineering A Punidha, E Arul, E Yuvarani, S Rajasekaran International Conference on ICT for Sustainable Development, 21-30 , 2025 2025
Smart Malware Detection in IoT Devices Using Optimized Feature Engineering and Deep Neural Networks A Punidha, E Arul, E Yuvarani, S Rajasakaran International Conference on ICT for Sustainable Development, 204-213 , 2025 2025
Autonomous UAV Enhancement with Edge Computing and Reliable Data Transmission in IoV Networks JAE Dr.S.Rajasekaran, Dr.Arun Chakravathy Global Edu-Conclave 2024 , 2024 2024
Adaptive Trajectory Optimization for UAV Swarms in Dynamic and Uncertain Environments JA Dr.S.Rajasekaran, Dr.R.Arun Chakravarthy 2024
Optimization of Multi-Level UAV Pathways for Rural and Urban Drop Point Logistics EJA Navaneeth M Dr.Arun Chakravarthy, Dr.Arun M,Suresh kumar C,Sathish R,Dr ... Global Edu-Conclave 2023 1, 57/61 , 2023 2023
Problem Solving and Python Programming MS Kenneth A.Lambert, Dr.Ashok B, Sathish R,E Joel Anandraj,Dr.Rajasekaran S 2023
Autonomous Landing of UAVs in GNSS Denied Environments Using Pan Tilt Visual Servoing RS Joel Anandraj E Arun Chakravarthy R, Arun M, Sathish R, Sureshkumar C Interdisciplinary Research for Sustainable Development , 2023 2023
Elderly Care Using Generative Adversarial Networks (GANs) on Deep Video Analysis S Rajasekaran, G Kousalya International Conference on Micro-Electronics and Telecommunication … , 2021 2021
Facial Expression Analysis of Toddlers and Preschool Children using Machine Learning Technique PA Rajsekaran S International Journal of Technical Innovation in Modern Engineering & Science , 2019 2019
Article Digital Extortion: An Empirical Investigation on Ransomware Infection and Countermeasures International Journal of Recent Trends in Engineering and Research , 2018 2018
