Baskar K.

K. Baskar is an Associate Professor and Head of the Department, Department of Artificial Intelligence and Data Science, Kongunadu College of Engineering and Technology, Thottiam, Trichy, Tamilnadu, India. He has completed Ph.D in cloud Computing from Karpagam Academy of Higher Education, Coimbatore. He has completed M.E - Computer Science and Engineering in Annai Mathammal Sheela Engineering College, Erumapatty, Namakkal in 2008. He has Completed B.E - Computer Science and Engineering in PGP College of Engineering and Technology, Namakkal in 2005. He has 15 years of Teaching Experience in various Engineering Colleges. He has published 38 Articles in various Journal and International Conferences. His area of interest includes Cloud Computing, Artificial Intelligence and Big Data.

Publications

Exploring Digital Twin Technologies to Examine Transformation in Healthcare Systems
Exploring Digital Twin Technologies to Examine Transformation in Healthcare Systems
Yogita Manish Patil, Phaneendra Varma Chintalapati, Baskar Kandasamy, Sundaravadivazhagan Balasubramanian. © 2024. 22 pages.
This chapter explores the field of digital twin technologies as an innovative approach to examine the continuous change in healthcare systems. The utilization of digital twins...
Integrating Digital Twin Technology and Artificial Intelligence for Tomorrow's Businesses: Strategic Imperatives
Integrating Digital Twin Technology and Artificial Intelligence for Tomorrow's Businesses: Strategic Imperatives
Virender Kumar Dahiya, P. Swathi, K. Baskar, Mohd Akbar. © 2024. 14 pages.
The integration of digital twin (DT) technology and artificial intelligence (AI) stands as a strategic element for businesses in today's era of technological transformation....
Cloud-Enabled Security Adversarial Network Strategies for Public Area Protection
Cloud-Enabled Security Adversarial Network Strategies for Public Area Protection
Mamta P. Khanchandani, Sanjay H. Buch, Shanti Verma, K. Baskar. © 2024. 13 pages.
In cloud computing, the consideration of the future of IT enterprise involves the centralized application software and database in large data centers. However, this shift raised...
Deep Learning Safeguard: Exploring GANs for Robust Security in Open Environments
Deep Learning Safeguard: Exploring GANs for Robust Security in Open Environments
B. Venkatesan, Khaja Mannanuddin, Senthilnathan Chidambaranathan, Balajee Jeyakumar, Bhargav Ram Rayapati, K. Baskar. © 2024. 14 pages.
The proposed system not only capitalizes on DCGANs' ability to generate realistic synthetic data but also employs their hierarchical feature learning to enhance the detection...
Enhanced Security in Smart City GAN-Based Intrusion Detection Systems in WSNs
Enhanced Security in Smart City GAN-Based Intrusion Detection Systems in WSNs
Manikanta Sirigineedi, Alok Manke, Shanti Verma, K. Baskar. © 2024. 15 pages.
As intelligent urban centers continue to evolve, the reliance on wireless type sensory networks (WSNs) for data samples collections and message interaction will become paramount....
Machine Learning at the Edge: GANs for Anomaly Detection in Wireless Sensor Networks
Machine Learning at the Edge: GANs for Anomaly Detection in Wireless Sensor Networks
Sundara Mohan, Alok Manke, Shanti Verma, K. Baskar. © 2024. 13 pages.
In this study, a novel system named “EdgeAnomaly,” is proposed, which leverages generative adversarial networks (GANs) for anomaly detection on wireless sensory networks (WSNs)...
Novel Approaches for Secure Data Packet Transmission in Public Spaces via GANs and Blockchain
Novel Approaches for Secure Data Packet Transmission in Public Spaces via GANs and Blockchain
M. Islabudeen, B. Lalithadevi, S. Aruna, M. Mohamed Sithik, K. Baskar. © 2024. 15 pages.
In today's digitally connected world, giving secure data packet transmission in public spaces is paramount. Traditional encryption methods have limitations when it comes to...
A Comparative Analysis of Machine Learning Techniques in Creating Virtual Replicas for Healthcare Simulations
A Comparative Analysis of Machine Learning Techniques in Creating Virtual Replicas for Healthcare Simulations
Yogita Manish Patil, Arockia Raj Abraham, Nirbhay Kumar Chaubey, Baskar K., Senthilnathan Chidambaranathan. © 2024. 12 pages.
This comparative analysis into various machine learning techniques employed on the development of virtual replicas (digital twins) for healthcare simulations. The study explores...
Digital Health Records in Paving the Way for Paperless and Green Practices
Digital Health Records in Paving the Way for Paperless and Green Practices
Shuchi Midha, Swathi P., Vinod Kumar Shukla, Shanti Verma, Baskar K.. © 2024. 16 pages.
The transformational influence of digital health records (DHRs) on healthcare systems, with a focus on their significance in encouraging paperless and ecologically friendly...
Innovative Approaches to Simulating Human-Machine Interactions Through Virtual Counterparts
Innovative Approaches to Simulating Human-Machine Interactions Through Virtual Counterparts
Bijumon George, Nidhi Oswal, K. Baskar, Senthilnathan Chidambaranathan. © 2024. 11 pages.
Creating realistic simulations of human-machine interaction through virtual counterparts is a cutting-edge area of research that involves innovative approaches. This endeavor...