Swaminathan Kalyanaraman

Swaminathan Kalyanaraman worked as a teaching faculty in University College of Engineering Pattukkottai (Anna University). He has more than 10 teaching experience. The area interest is VLSI, Reconfigurable computing, networking, IoT, WSN. He published more than 15 research papers in various national and international journals. He is a member of various international technical bodies like ESRII, IFERP, Internet Society IEI, ISTE, IAENG.

Publications

Digital Twin Technology and AI Implementations in Future-Focused Businesses
Digital Twin Technology and AI Implementations in Future-Focused Businesses
Sivaram Ponnusamy, Mansour Assaf, Jilali Antari, Satyanand Singh, Swaminathan Kalyanaraman. © 2024. 331 pages.
In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin...
Harnessing AI and Digital Twin Technologies in Businesses
Harnessing AI and Digital Twin Technologies in Businesses
Sivaram Ponnusamy, Mansour Assaf, Jilali Antari, Satyanand Singh, Swaminathan Kalyanaraman. © 2024. 320 pages.
The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the...
Amplifying Digital Twins Through the Integration of Wireless Sensor Networks: In-Depth Exploration
Amplifying Digital Twins Through the Integration of Wireless Sensor Networks: In-Depth Exploration
Swaminathan Kalyanaraman, Sivaram Ponnusamy, R. K. Harish. © 2024. 13 pages.
Digital twin technology has emerged as a transformative paradigm in various domains, offering real-time simulations of physical systems and assets. Wireless sensor networks...
Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation
Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation
Harish Ravali Kasiviswanathan, Sivaram Ponnusamy, K. Swaminathan. © 2024. 19 pages.
This chapter presents a pioneering strategy for the advancement of digital twin technology, leveraging the capabilities of service-oriented architecture (SOA) and cloud computing...
Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs)
Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs)
Sivaram Ponnusamy, Jilali Antari, Pawan R. Bhaladhare, Amol D. Potgantwar, Swaminathan Kalyanaraman. © 2024. 409 pages.
As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landscape, Generative...
Enhancing Women's Safety in Smart Transportation Through Human-Inspired Drone-Powered Machine Vision Security
Enhancing Women's Safety in Smart Transportation Through Human-Inspired Drone-Powered Machine Vision Security
Kswaminathan Kalyanaraman, T. N. Prabakar. © 2024. 17 pages.
In today's rapidly evolving transportation landscape, ensuring the safety of women has become a paramount concern. The integration of machine vision with drone-based...
AI-Enhanced Optimization Algorithm for Body Area Networks in Intelligent Wearable Patches for Elderly Women's Safety
AI-Enhanced Optimization Algorithm for Body Area Networks in Intelligent Wearable Patches for Elderly Women's Safety
Kswaminathan Kalyanaraman, Sivaram Ponnusamy. © 2024. 29 pages.
IoT-enabled sensor nodes gather real-time data and employ machine learning techniques to enable remote monitoring and rapid response. To overcome these challenges, the proposed...
Challenges and Opportunities in Implementing AI-Driven Surveillance for Women's Wellbeing
Challenges and Opportunities in Implementing AI-Driven Surveillance for Women's Wellbeing
Swaminathan Kalyanaraman, Sivaram Ponnusamy, Sangeetha Subramanian. © 2024. 11 pages.
This research explores the difficulties and positive aspects of using AI-driven surveillance to improve women's wellbeing. The authors delve into the challenges, such as...
Adversarial Learning for Intrusion Detection in Wireless Sensor Networks: A GAN Approach
Adversarial Learning for Intrusion Detection in Wireless Sensor Networks: A GAN Approach
Swaminathan Kalyanaraman, Sivaram Ponnusamy, S. Saju, S. Sangeetha, R. Karthikeyan. © 2024. 14 pages.
In the vital domain of wireless sensor networks (WSNs), which play an essential role in monitoring and data collection across diverse environments, safeguarding against cyber...
GAN-Based Privacy Protection for Public Data Sharing in Wireless Sensor Networks
GAN-Based Privacy Protection for Public Data Sharing in Wireless Sensor Networks
Swaminathan Kalyanaraman, Sivaram Ponnusamy, S. Saju, R. Vijay, R. Karthikeyan. © 2024. 15 pages.
In this study, the authors introduce “SecureNetGAN,” a novel system designed to protect wireless sensor networks (WSNs) from cyber threats through the use of generative...
An Artificial Intelligence Model for Effective Routing in WSN
An Artificial Intelligence Model for Effective Routing in WSN
Swaminathan Kalyanaraman. © 2023. 22 pages.
In WSN, sensor nodes will be distributed heterogeneity concerning their basic requirements such as location, power backup, and the distance between the nodes. With these metrics...