Loading...
(Ram Krishna Institute of Education, India)
Dr. P. D. Sharma is an academician, researcher, and former Principal of Ram Krishna Institute of Education, currently serving in the Department of Education at The ICFAI University. He holds an M.A. in Astrology, M.Com., M.A. in Psychology, M.A. in Education, and a Ph.D. His academic and research interests span education, psychology, literature, and astrology. He has contributed numerous research papers, articles, and workshop presentations to various academic forums. Committed to holistic student development, Dr. Sharma views education as a continuous process of learning, reflection, and knowledge creation that contributes to societal benefit.
Multimodal Artificial Intelligence: Foundations, Intelligent Applications, and Emerging Trends presents a comprehensive overview of the fundamental concepts, advanced methodologies, practical applications, and emerging developments in multimodal artificial intelligence. The book explores the integration of diverse data modalities, including text, images, audio, video, and sensor information, to enhance intelligent analysis, prediction, classification, and decision-making. It covers a wide range of applications, including healthcare monitoring, clinical decision support, personalized education, student performance prediction, intelligent transportation, autonomous vehicles, smart agriculture, environmental monitoring, industrial automation, cybersecurity, financial fraud detection, e-commerce recommendation systems, and smart energy management. The volume also examines contemporary technologies such as machine learning, deep learning, computer vision, natural language processing, Transformer architectures, attention mechanisms, generative AI, foundation models, and agentic AI. Furthermore, it addresses important challenges associated with multimodal data integration, privacy, security, computational complexity, explainability, interoperability, and responsible AI implementation. This book serves as a valuable academic reference for researchers, faculty members, postgraduate students, research scholars, and industry professionals interested in developing reliable, scalable, and intelligent multimodal AI solutions across diverse application domains.