This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.

The book:

The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.

Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.

The book:

The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.

Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

The energy and utilities sector is undergoing rapid transformation, driven by decentralizedfinance (DeFi) and blockchain technologies. As sustainability becomes a global priority, theseinnovations offer new pathways to enhance transparency, efficiency, and resilience acrossenergy systems.

This volume examines how DeFi enables the tokenization of renewable energy assets,supporting peer-to-peer trading and unlocking new financial models. It explores the use ofsmart contracts to automate transactions such as billing and energy exchange, reducinginefficiencies and operational risk. Broader themes include financial inclusion, energy-backeddigital assets, and the environmental implications of blockchain adoption.

Alongside these opportunities, the book addresses key implementation challenges, includingregulatory uncertainty, scalability, and interoperability. It also highlights the role of artificialintelligence, cloud computing, and data-driven systems in accelerating digital transformation.By combining conceptual insights with practical considerations, the volume offers a clear andforward-looking perspective on the evolving energy landscape.

The energy and utilities sector is undergoing rapid transformation, driven by decentralizedfinance (DeFi) and blockchain technologies. As sustainability becomes a global priority, theseinnovations offer new pathways to enhance transparency, efficiency, and resilience acrossenergy systems.

This volume examines how DeFi enables the tokenization of renewable energy assets,supporting peer-to-peer trading and unlocking new financial models. It explores the use ofsmart contracts to automate transactions such as billing and energy exchange, reducinginefficiencies and operational risk. Broader themes include financial inclusion, energy-backeddigital assets, and the environmental implications of blockchain adoption.

Alongside these opportunities, the book addresses key implementation challenges, includingregulatory uncertainty, scalability, and interoperability. It also highlights the role of artificialintelligence, cloud computing, and data-driven systems in accelerating digital transformation.By combining conceptual insights with practical considerations, the volume offers a clear andforward-looking perspective on the evolving energy landscape.

A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions.

The book provides a comprehensive overview of state-of-the-art research work on cognitive models in communication systems and computing techniques. It also bridges the gap between various communication systems and solutions by providing the current models and computing techniques, their applications, the strengths and limitations of the existing methods, and the future directions in this area.

The contributors showcase their latest research work focusing on the issues, challenges, and solutions in the field of data transmission techniques, computational algorithms, artificial intelligence (AI)-based devices, and computing techniques.

Readers will find in this succinctly written and unique book:

Audience

The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers, and mechanical engineers (both in academia and industry) working in the fields of machine learning, cognitive computing, mobile communication, and wireless network system.

A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions.

The book provides a comprehensive overview of state-of-the-art research work on cognitive models in communication systems and computing techniques. It also bridges the gap between various communication systems and solutions by providing the current models and computing techniques, their applications, the strengths and limitations of the existing methods, and the future directions in this area.

The contributors showcase their latest research work focusing on the issues, challenges, and solutions in the field of data transmission techniques, computational algorithms, artificial intelligence (AI)-based devices, and computing techniques.

Readers will find in this succinctly written and unique book:

Audience

The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers, and mechanical engineers (both in academia and industry) working in the fields of machine learning, cognitive computing, mobile communication, and wireless network system.

This two-volume set, CCIS 2382 and CCIS 2383, constitutes the refereed proceedings of the First International Conference on Advanced Network Technologies and Computational Intelligence, ICANTCI 2024, held in Punjab, India, during April 5-6, 2024.

The 38 full papers and 6 short papers included in this book were carefully reviewed and selected from 153 submissions. The papers are organized in the following topical sections:

Part I: Advanced Network Technologies; Computational Intelligence.

Part II: Computational Intelligence; Computer Technology Trends.

This two-volume set, CCIS 2382 and CCIS 2383, constitutes the refereed proceedings of the First International Conference on Advanced Network Technologies and Computational Intelligence, ICANTCI 2024, held in Punjab, India, during April 5-6, 2024.

The 38 full papers and 6 short papers included in this book were carefully reviewed and selected from 153 submissions. The papers are organized in the following topical sections:

Part I: Advanced Network Technologies; Computational Intelligence.

Part II: Computational Intelligence; Computer Technology Trends.

This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.

The book:

The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.

Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.

The book:

The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.

Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.

The energy and utilities sector is undergoing rapid transformation, driven by decentralizedfinance (DeFi) and blockchain technologies. As sustainability becomes a global priority, theseinnovations offer new pathways to enhance transparency, efficiency, and resilience acrossenergy systems.

This volume examines how DeFi enables the tokenization of renewable energy assets,supporting peer-to-peer trading and unlocking new financial models. It explores the use ofsmart contracts to automate transactions such as billing and energy exchange, reducinginefficiencies and operational risk. Broader themes include financial inclusion, energy-backeddigital assets, and the environmental implications of blockchain adoption.

Alongside these opportunities, the book addresses key implementation challenges, includingregulatory uncertainty, scalability, and interoperability. It also highlights the role of artificialintelligence, cloud computing, and data-driven systems in accelerating digital transformation.By combining conceptual insights with practical considerations, the volume offers a clear andforward-looking perspective on the evolving energy landscape.

The energy and utilities sector is undergoing rapid transformation, driven by decentralizedfinance (DeFi) and blockchain technologies. As sustainability becomes a global priority, theseinnovations offer new pathways to enhance transparency, efficiency, and resilience acrossenergy systems.

This volume examines how DeFi enables the tokenization of renewable energy assets,supporting peer-to-peer trading and unlocking new financial models. It explores the use ofsmart contracts to automate transactions such as billing and energy exchange, reducinginefficiencies and operational risk. Broader themes include financial inclusion, energy-backeddigital assets, and the environmental implications of blockchain adoption.

Alongside these opportunities, the book addresses key implementation challenges, includingregulatory uncertainty, scalability, and interoperability. It also highlights the role of artificialintelligence, cloud computing, and data-driven systems in accelerating digital transformation.By combining conceptual insights with practical considerations, the volume offers a clear andforward-looking perspective on the evolving energy landscape.

A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions.

The book provides a comprehensive overview of state-of-the-art research work on cognitive models in communication systems and computing techniques. It also bridges the gap between various communication systems and solutions by providing the current models and computing techniques, their applications, the strengths and limitations of the existing methods, and the future directions in this area.

The contributors showcase their latest research work focusing on the issues, challenges, and solutions in the field of data transmission techniques, computational algorithms, artificial intelligence (AI)-based devices, and computing techniques.

Readers will find in this succinctly written and unique book:

Audience

The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers, and mechanical engineers (both in academia and industry) working in the fields of machine learning, cognitive computing, mobile communication, and wireless network system.

A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions.

The book provides a comprehensive overview of state-of-the-art research work on cognitive models in communication systems and computing techniques. It also bridges the gap between various communication systems and solutions by providing the current models and computing techniques, their applications, the strengths and limitations of the existing methods, and the future directions in this area.

The contributors showcase their latest research work focusing on the issues, challenges, and solutions in the field of data transmission techniques, computational algorithms, artificial intelligence (AI)-based devices, and computing techniques.

Readers will find in this succinctly written and unique book:

Audience

The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers, and mechanical engineers (both in academia and industry) working in the fields of machine learning, cognitive computing, mobile communication, and wireless network system.

This two-volume set, CCIS 2382 and CCIS 2383, constitutes the refereed proceedings of the First International Conference on Advanced Network Technologies and Computational Intelligence, ICANTCI 2024, held in Punjab, India, during April 5-6, 2024.

The 38 full papers and 6 short papers included in this book were carefully reviewed and selected from 153 submissions. The papers are organized in the following topical sections:

Part I: Advanced Network Technologies; Computational Intelligence.

Part II: Computational Intelligence; Computer Technology Trends.

This two-volume set, CCIS 2382 and CCIS 2383, constitutes the refereed proceedings of the First International Conference on Advanced Network Technologies and Computational Intelligence, ICANTCI 2024, held in Punjab, India, during April 5-6, 2024.

The 38 full papers and 6 short papers included in this book were carefully reviewed and selected from 153 submissions. The papers are organized in the following topical sections:

Part I: Advanced Network Technologies; Computational Intelligence.

Part II: Computational Intelligence; Computer Technology Trends.