ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: CONCEPTS, TECHNIQUES AND MULTIDOMAIN APPLICATIONS

<jats:p>Artificial Intelligence (AI) and Machine Learning (ML) have become transformative technologies that are influencing almost every area of modern life. From smart cities and healthcare to education, cybersecurity, transportation, industry, and data analytics, intelligent technologies are creating new opportunities for automation, prediction, decision-making, and innovation. The rapid evolution of AI, ML, deep learning, and emerging technologies has created a strong need for accessible and comprehensive resources that explain both their fundamental concepts and their practical applications. The book Artificial Intelligence and Machine Learning: Concepts, Techniques and Multidomain Applications has been prepared with the aim of presenting important concepts, techniques, developments, and applications of AI and ML in a structured and multidisciplinary manner. The chapters bring together foundational knowledge and contemporary perspectives, enabling readers to understand how intelligent technologies have evolved and how they are being applied to address real world challenges. The book covers a wide range of topics, beginning with the foundations and evolution of Artificial Intelligence and Machine Learning and extending to emerging applications. It discusses intelligent systems for smart cities, where technologies such as the Internet of Things, AI, big data analytics, cloud computing, and ML contribute to efficient and sustainable urban development. It also addresses the ethical, responsible, and explainable dimensions of intelligent technologies, emphasizing important concerns such as fairness, transparency, accountability, privacy, security, and human-centred AI. Further, the book explores cybersecurity intelligence, Machine Learning in Industry 5.0, AI-driven transportation systems, introductory machine learning concepts, real-time intelligence using Apache Spark and AI, Explainable Artificial Intelligence, and deep learning applications. These diverse topics demonstrate the multidisciplinary nature of AI and ML and their growing significance in solving complex problems across different sectors. The book is intended for students, academicians, researchers, educators, technology professionals, and practitioners who wish to develop an understanding of AI and ML and explore their applications in different domains. It can serve as a useful academic reference as well as a starting point for further research and innovation. We sincerely hope that this book will help readers understand the rapidly changing landscape of Artificial Intelligence and Machine Learning, appreciate their potential and challenges, and encourage the development and responsible application of intelligent technologies for the benefit of society.</jats:p>