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













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.