Ponnusamy Sivaram

P. Sivaram is a Professor from the Department of Artificial Intelligence, G H Raisoni College of Engineering Nagpur, Maharashtra, India. He received his PhD in Computer Science & Engineering from the Anna University, Chennai, India in 2017, ME in Computer Science & Engineering from the Anna University, Chennai, India in 2005, and MBA in Project Management from Alagappa University, India in 2007, and BE in Electrical & Electronics Engineering from Periyar University, India in 2002. His research of interest includes Social Welfare Computer Applications’ Optimization, VANET, Mobile Applications, Datamining, Artificial Intelligence and Computer Vision.)

Publications

AI Tools and Applications for Women’s Safety

In an era marked by rapid technological progress, women's safety remains a pressing concern despite strides toward gender equality. Women continue to grapple with safety...

Digital Twin Technology and AI Implementations in Future-Focused Businesses

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...

Impact of AI on Advancing Women's Safety

Women encounter multifaceted threats, ranging from personal safety hazards to discrimination deeply embedded in societal structures. The existing landscape demands innovative...

Harnessing AI and Digital Twin Technologies in Businesses

The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the...

Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing

In a world where the safety of women remains a pressing issue, the intersection of artificial intelligence (AI) and emerging technologies is a motivating force. Despite strides...

Amplifying Digital Twins Through the Integration of Wireless Sensor Networks: In-Depth Exploration

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

This chapter presents a pioneering strategy for the advancement of digital twin technology, leveraging the capabilities of service-oriented architecture (SOA) and cloud computing...

Synergies of Digital Twin Technology and AI: Future-Focused Innovations in Business

This chapter explores the dynamic intersection of digital twin technology and artificial intelligence (AI) within the strategic landscape of forward-thinking businesses. As...

Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs)

As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landscape, Generative...

Crime Mapping and Hotspot Analysis: Enhancing Women's Safety Through GIS

In a time when safety is still of the highest importance, especially for vulnerable groups like women, this chapter analyzes the powerful intersection of crime mapping, hotspot...

Mobile Application-Based Women's Safety and Security System Using AI

There are many shameless residential manhandles for ladies across the world. Usually quickened due to the nonappearance of a successful following framework. This is centred on a...

Women's Care With Generalized Metabolism Analysis Report Based on Age Using Deep Learning

Women are facing different problems in different stages. The importance of comprehending women's personal and health issues is highlighted in the opening section. Women are...

AI-Based Advanced Surveillance Approach for Women's Safety

This chapter explores the role of information technology in enhancing women's safety, encompassing mobile apps, GPS tracking, and social media. It also introduces a proposed...

AI-Enhanced Optimization Algorithm for Body Area Networks in Intelligent Wearable Patches for Elderly Women's Safety

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

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...

Exploring the Role of AI in Overcoming Women's Sexual and Reproductive Wellbeing Barriers

This chapter aims to explore the feasibility of applying AI to help resolve issues stemming from the sociolegal realities of pregnant persons in India, by first examining the...

Minds at Ease: A Machine Learning Approach to Women's Mental Wellness in the Professional Arena

Depression, stress, anxiety, or other mental illnesses are crucial problems today in this society. Because of these problems, anybody can lose interest in general routine...

Adversarial Learning for Intrusion Detection in Wireless Sensor Networks: A GAN Approach

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

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...

AI Applications and Digital Twin Technology Have the Ability to Completely Transform the Future

Digital twin (DT) has a growth revolution by increasing artificial intelligence (AI) techniques and relative technologies as the internet of things (IoT). They may be considered...

Blockchain-Empowered Business Realities: Convergence With AI and Digital Twins

This research explores the synergies among blockchain, artificial intelligence (AI), and digital twins, showcasing their collective impact on reshaping contemporary business...

Digital Twin-Based Crop Yield Prediction in Agriculture

This chapter explores the transformative integration of digital twin technology and drone-based solutions in agriculture, focusing on the innovative Digital Twin Empowered Drones...

Echoes of Tomorrow: Navigating Business Realities With AI and Digital Twins

“Echoes of Tomorrow: Navigating Business Realities With AI and Digital Twins” charts a visionary course where artificial intelligence and digital twins converge to reshape the...

Enhancing Electric Vehicle Battery Management With the Integration of IoT and AI

The performance of electric vehicles (EVs) is influenced by various factors such as battery life, cell voltage, health, safety, and charging/discharging speeds. Battery...

Exploring the Role of Digital Twin in Power System Applications

This chapter presents digital twinning technology, integrating multi-disciplinary, multi-physical, multi-scale, and multi-probability simulation processes through physical models...

Harnessing Logistic Industries and Warehouses With Autonomous Carebot for Security and Protection: A Smart Protection Approach

In today's rapidly evolving world of logistics and supply chain management, the need for efficient and automated solutions has never been more pressing. Enter the smart...

Technological Collaboration, Challenges, and Unrestricted Research in the Digital Twin: Digital Twin Technology

A new idea that has drawn the interest of academics and business in recent years is called digital twin technology. Its expansion has been made easier by the developments in...

Twinning for Success: A Guide to Strategic Business Integration With AI and Digital Twins

“Twinning for Success: A Guide to Strategic Business Integration with AI and Digital Twins” is a roadmap for businesses in the modern landscape. It explores the synergy of AI and...

Perspectives on Social Welfare Applications’ Optimization and Enhanced Computer Applications

Computer application systems are helpful for society to turn into a digital era of computing and interaction made more accessible and consistent. Further study in this field is...

Advanced Method of MOB-I App Used for Medical and Agriculture

Over the past few years India has a significant rise in mobile applications. The development of apps for remote work, education, and healthcare has dramatically increased....

Detection of Damage in Composite Materials Using Hybrid Fuzzy Logic Technique in Aerospace

In the past two decades, the use of various materials for various structural and mechanical aspects has become increasingly important. Scientists in today's high-tech world...