Sangeetha S.

S. Sangeetha , working as an Assistant Professor in the Department of Information Technology, Kongunadu College of Engineering and Technology, Trichy, Tami Nadu, India. She received B.E. Computer Science and Engineering from PGP College of Engineering and Technology, Namakkal under Anna University-Chennai in 2006. She was awarded with M.E. in Computer Science and Engineering from M.Kumarasamy College of Engineering, Karur under Anna University-Coimbatore in 2009. She has 12 years of teaching experience and pursuing Ph.D., as a part-time research scholar in Anna University, Chennai. Her area of interest lies in Image Processing, Machine Learning and Deep Learning. She has published 10 papers in International journals and presented 15 papers in national and international conferences

Publications

A Survey of AI Integration in Unmanned Aerial Vehicles (UAVs) Using Digital Twin Technology: Advancements and Applications
A Survey of AI Integration in Unmanned Aerial Vehicles (UAVs) Using Digital Twin Technology: Advancements and Applications
A. Peter Soosai Anandaraj, R. Dhivya, Karamath Ateeq, Sangeetha Subramaniam. © 2024. 13 pages.
This chapter explores the burgeoning field of integrating artificial intelligence (AI) into unmanned aerial vehicles (UAVs) through the lens of digital twin technology. UAVs...
Enhancing Digital Twins With Wireless Sensor Networks: An In-Depth Exploration
Enhancing Digital Twins With Wireless Sensor Networks: An In-Depth Exploration
T. Akila, Purti Bilgaiyan, Sangeetha Subramaniam, R. Venkateswaran. © 2024. 15 pages.
This chapter explores the integration of digital twin technology (DTT) and artificial intelligence (AI) in advancing underwater wireless sensor networks (UWSN). The problem...
Unlocking the Potential of AI-Powered Digital Twins in Advancing Space Technology: A Comprehensive Survey
Unlocking the Potential of AI-Powered Digital Twins in Advancing Space Technology: A Comprehensive Survey
Ruby Dahiya, S. Rajanarayanan, K. Baskar, Hidayath Ali Baig. © 2024. 12 pages.
The chapter provides an overview of the survey study that focuses on the synergistic potential of artificial intelligence (AI) and digital twins in the context of space...
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...
Enhancing Network Analysis Through Computational Intelligence in GANs
Enhancing Network Analysis Through Computational Intelligence in GANs
Padma Bellapukonda, Sathiya Ayyadurai, Mohsina Mirza, Sangeetha Subramaniam. © 2024. 13 pages.
In the discipline of allowsrative artificial intelligence, generative adversarial networks have become an effective tool that allow for the creation, modification, and synthesis...
Digital Twins and Reinforcement Learning for Autonomous Systems in Industry 4.0: A Comprehensive Survey
Digital Twins and Reinforcement Learning for Autonomous Systems in Industry 4.0: A Comprehensive Survey
Nithya M., Ramesh Babu Gurujukota, Anju Gautam, Chandresh Bakliwal, Sangeetha S., Karthikeyan Thangavel. © 2024. 15 pages.
In this chapter, the authors delve into the compelling intersection of digital twins and reinforcement learning, aiming to propel the autonomy of systems within the Industry 4.0...
Enhancing Electric Vehicle Battery Management With the Integration of IoT and AI
Enhancing Electric Vehicle Battery Management With the Integration of IoT and AI
Harish Ravali Kasiviswanathan, Sivaram Ponnusamy, K. Swaminathan, T. Thenthiruppathi, S. Sangeetha, K. Sankar. © 2024. 17 pages.
The performance of electric vehicles (EVs) is influenced by various factors such as battery life, cell voltage, health, safety, and charging/discharging speeds. Battery...
Machine Learning Application for Virtual Replicas (Digital Twins) in Cybersecurity
Machine Learning Application for Virtual Replicas (Digital Twins) in Cybersecurity
Jaynesh H. Desai, Sneha Patel, Shanti Verma, Sangeetha Subramaniam. © 2024. 12 pages.
In the swiftly evolving realm of technology and cybersecurity, safeguarding our digital assets is paramount. This study explores the integration of machine learning techniques...
Machine Learning-Driven Data Fusion in Wireless Sensor Networks With Virtual Replicas: A Comprehensive Evaluation
Machine Learning-Driven Data Fusion in Wireless Sensor Networks With Virtual Replicas: A Comprehensive Evaluation
R. M. Dilip Charaan, Senthilnathan Chidambaranathan, Karthick Myilvahanan Jothivel, Sangeetha Subramaniam, M. Prabu. © 2024. 11 pages.
In this study, the authors delve into the world of wireless sensor networks (WSNs) and explore the potential of machine learning-driven data fusion alongside virtual replicas....
Machine Learning-Driven Virtual Counterparts for Climate Change Modeling
Machine Learning-Driven Virtual Counterparts for Climate Change Modeling
A. Peter Soosai Anandaraj, Dinesh Dhanabalan Sethuraman, Pitchaimuthu Marimuthu, Hashim Mohammed S., Sangeetha Subramaniam, Thirupathi Regula. © 2024. 12 pages.
Climate change modeling is a critical endeavor in understanding and mitigating the impacts of environmental shifts. This research introduces a novelist methodology named...
Security and Optimization in IoT Networks Using AI-Powered Digital Twins
Security and Optimization in IoT Networks Using AI-Powered Digital Twins
Padma Bellapukonda, G. Vijaya, Sangeetha Subramaniam, Senthilnathan Chidambaranathan. © 2024. 14 pages.
This study explores new ways to make IoT networks more secure and efficient by using advanced digital twin technology. The proposed system, named dynamic network resilience and...
Smart Transportation Systems Machine Learning Application in WSN-Based Digital Twins
Smart Transportation Systems Machine Learning Application in WSN-Based Digital Twins
Monelli Ayyavaraiah, Balajee Jeyakumar, Senthilnathan Chidambaranathan, Sangeetha Subramaniam, K. Anitha, A. Sangeetha. © 2024. 11 pages.
This proposed system, smart travel companion, harnesses the power of machine learning within wireless sensor networks (WSN) to create digital twins for intelligent transportation...
Virtual Counterparts in Disaster Response: A Machine Learning Perspective
Virtual Counterparts in Disaster Response: A Machine Learning Perspective
M. Prakash, M. Prabakaran, Shanti Verma, Sangeetha Subramaniam, Karthikeyan Thangavel. © 2024. 11 pages.
In the field of disaster response, incorporating virtual counterparts using machine learning is a promising approach. This perspective explores the utilization of advanced...