N. Pradeep – författare

This book brings together cutting-edge research and multidisciplinary insights to demonstrate how artificial intelligence, smart systems, data science, and sustainable engineering are transforming industries, health sciences, and education. An outcome of the International Conference on Emerging Technologies for Multidisciplinary Innovation and Sustainability (ETMIS 2025) held at Coal City University Enugu, Nigeria, this book provides a comprehensive exploration of digital-driven emerging technologies that foster innovation and measurable impact on the United Nations Sustainable Development Goals (SDGs). By bridging technological advancement with global sustainability challenges, the book offers novel perspectives on how digital transformation can accelerate innovation across multiple sectors. By focusing on practical, scalable, and sustainable innovation pathways, the book provides valuable guidance for addressing pressing issues such as climate change, renewable energy integration, digital inclusion, smart cities, healthcare transformation, and educational modernization. It also underscores the importance of responsible and ethical AI, highlighting governance mechanisms that ensure fairness, transparency, and accountability in global innovation ecosystems. Each chapter presents innovative methodologies, case studies, and applied frameworks that connect advanced technologies to sustainable development, climate resilience, societal empowerment, and inclusive growth.This book will benefit a wide audience of researchers, academicians, industry professionals, policymakers, graduate students, and innovators who are interested in leveraging emerging technologies for sustainability and societal transformation. It serves as both a reference for scholars and a roadmap for practitioners working at the intersection of technology, innovation, and sustainable development.

This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary computation, and fuzzy systems. It also discusses emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, and chaotic systems. The other areas have also been demystified in the book to strengthen the range of computational intelligence techniques such as expert systems, knowledge-based systems, and genetic algorithms. Therefore, this book will redefine the role of computational intelligence techniques in modern business system operations such as marketing, finance & accounts, operations, personnel management, supply chain management, and logistics. Besides, this book guides the readers through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. The book will provide insights into research gaps, open challenges, and unsolved computational intelligence problems. The book will act as a premier reference and instant material for all the users who are contributing/practicing the adaptation of computational intelligence modern techniques in business systems.