Cognitive Computing for Intelligent Decision Support Systems: Foundations and Applications of Cognitive Computing for Intelligent Decision Support

Editors: Suresh Kaswan, Rahul Bhandari, Sandeep Singh Kang, Diana Bogdanova, Reshma Khan

Cognitive Computing for Intelligent Decision Support Systems: Foundations and Applications of Cognitive Computing for Intelligent Decision Support

ISBN: 979-8-89881-796-1
eISBN: 979-8-89881-795-4 (Online)

Introduction

This book offers a contemporary and interdisciplinary perspective on the technologies shaping the next generation of intelligent decision-making. The volume features thirteen chapters that collectively explore how cognitive computing can bring together advanced technologies – like artificial intelligence, and blockchain networks – to improve healthcare, cybersecurity and human digital experiences. Rather than examining these areas in isolation, the book highlights their growing interconnection and their collective potential to create systems that are smarter, more adaptive, secure, responsive and centered on human needs.

The chapters take readers through a wide range of topics, beginning with the possibilities of 6G communication in a hyperconnected world and the growing relevance of emotional and digital intelligence. The discussion then moves into AI-enabled cybersecurity, quantum approaches to intelligent decision support, and privacy and security issues in blockchain-based supply chains. Further chapters examine augmented reality and gamification, data compression techniques, IoT-supported remote patient monitoring, and the integration of emotional and digital intelligence with fractional calculus. The book also addresses privacy-preserving multimodal biometric authentication, hybrid blockchain frameworks, the expanding role of IoT in healthcare, AI-based early detection of brain tumors, environmentally sustainable data centers, and personalized multimodal content based on emotional patient profiles. Together, these contributions provide a broad picture of how intelligent technologies are influencing critical sectors and redefining the way complex decisions are supported.


Key Features

  • - 13 edited chapters providing an integrated perspective of cognitive computing and associated technologies.
  • - Covers important issues such as security, privacy, sustainability, accuracy, and user-centered design.
  • - Bridges fundamental computing concepts with practical applications.

Target Readership :

Primary: Scholars and advanced learners seeking an integrated understanding of cognitive and intelligent technologies.

Secondary: industry professionals, healthcare researchers, and decision-makers interested in the future development and practical application of cognitive computing for digital ecosystems.

Preface

The fast-evolving digital era demands intelligent, adaptive, and context-aware systems capable of supporting human decision-making processes. As cognitive computing continues to integrate with real-world applications, the need to understand, research, and build intelligent decision support systems becomes more critical than ever. This edited volume, Cognitive Computing for Intelligent Decision Support Systems, has been curated with the intent to explore these transformative technologies and their multifaceted impact on society, industry, and academia.

This book brings together researchers, industry experts, and academicians to share original research, case studies, and emerging innovations. It covers a wide spectrum of topics, including—but not limited to—machine learning in wireless networks, biometric authentication, the convergence of Industry 4.0 and IoT, 6G communication systems, digital content democratization, cybersecurity challenges, and blockchain-driven transparency. Each chapter provides unique insights into how cognitive technologies are redefining the landscape of decision-making systems across sectors such as healthcare, smart infrastructure, education, and enterprise applications.

This book brings together researchers, industry experts, and academicians to share original research, case studies, and emerging innovations. It covers a wide spectrum of topics, including—but not limited to—machine learning in wireless networks, biometric authentication, the convergence of Industry 4.0 and IoT, 6G communication systems, digital content democratization, cybersecurity challenges, and blockchain-driven transparency. Each chapter provides unique insights into how cognitive technologies are redefining the landscape of decision-making systems across sectors such as healthcare, smart infrastructure, education, and enterprise applications.

We would like to express our deep appreciation to all the contributing authors for their valuable research and to the reviewers for their constructive feedback, which has greatly enhanced the quality of this book. Our gratitude also extends to Bentham Science for their collaboration and to Chandigarh University for providing an enabling environment that encourages research excellence and global engagement.

We hope that this book serves as a significant academic reference and a catalyst for further exploration in this crucial area of technological advancement.

Suresh Kaswan
Department of Computer Science and Engineering
Chandigarh University, Mohali
Punjab, India

Rahul Bhandari
Department of Computer Science and Engineering
Chandigarh University, Mohali
Punjab, India

Sandeep Singh Kang
Department of Computer Science and Engineering
Chandigarh University, Mohali
Punjab, India


Diana Bogdanova
Department of Computational Mathematics and Cybernetics
Ufa University of Science and Technology
Ufa, Russia


&

Reshma Khan
Department of Computer Science and Engineering
Chandigarh University, Mohali
Punjab, India