(B S Abdur Rahman Crescent Institute of Science and Technology, India)
Dr. Nabeena Ameen was born on 28 June 1968 in Chennai, Tamilnadu. She received her B.E. degree in Computer Science and Engineering from Bharath Institute of Science and Technology, Madras University, Chennai, Tamilnadu in the year 1989. She completed her M.E degree in Computer Science and Engineering from B.S.A Crescent Engineering College, Anna University, and Tamilnadu in the year 2007. She completed Ph.D in the year 2021 in the Department of Information Technology at B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India. Her primary research interests include Big Data, Cloud computing, and Wireless sensor Networks. She can be reached at the email id nabeena@crescent.education
Artificial Intelligence and IoT for Intelligent Prediction and Decision Support in Real-World Application presents a comprehensive exploration of how Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming predictive analytics and intelligent decision-making across diverse application domains. The book covers fundamental concepts, machine learning and deep learning techniques, cloud and edge computing frameworks, explainable AI, and real-time data analytics for building intelligent prediction systems. Through twenty chapters, the book highlights practical applications in healthcare, transportation, electric vehicles, environmental monitoring, smart cities, agriculture, industrial automation, finance, energy management, and higher education. It demonstrates how AI-driven predictive models leverage historical and real-time data to improve forecasting accuracy, optimize resource utilization, automate decision-making, and enhance operational efficiency. The volume also discusses emerging technologies, implementation challenges, ethical considerations, and future research directions, making it a valuable reference for researchers, academicians, students, engineers, industry professionals, and policymakers interested in intelligent predictive systems and data-driven decision support.