CHITRANJAN BHARTI, Dr. SATISH KUMAR DAS, J. JAYALAKSHMI, Dr. A. RAJESH KANNA
Indexed In: Google scholar
Release Date: 08/10/2026 | Copyright:©2026 | Pages: 495
ISBN10: 9349552264 | ISBN13: 9789349552265
Deep Learning-Based Predictive Modeling for Intelligent Decision Support Systems in Complex Environments explores the integration of deep learning techniques with predictive modeling to enhance intelligent decision-making across complex and dynamic environments. The book examines advanced neural network architectures, data-driven forecasting, pattern recognition, explainable artificial intelligence, and adaptive learning methods for addressing uncertainty and computational challenges. It highlights applications across healthcare, engineering, finance, manufacturing, transportation, and smart infrastructure. Emphasis is placed on model accuracy, scalability, interpretability, and real-time decision support. This book provides researchers, academicians, industry professionals, and graduate students with valuable insights into developing reliable, intelligent, and efficient predictive decision support systems.
This book covers the fundamental concepts, advanced methodologies, and practical applications of deep learning-based predictive modeling for intelligent decision support systems. Key areas include deep neural networks, convolutional neural networks, recurrent neural networks, transformer architectures, predictive analytics, big data processing, and real-time data-driven decision-making. The coverage extends to explainable artificial intelligence, uncertainty quantification, model optimization, adaptive learning, and intelligent automation. Applications across healthcare, engineering, finance, manufacturing, transportation, environmental monitoring, and smart cities are explored. The book also addresses challenges related to data quality, computational efficiency, model reliability, scalability, ethical considerations, and the integration of intelligent systems into complex operational environments.
Mr. Chitranjan Bharti is an Assistant Professor in the Department of Chemistry at Dharma Samaj College, Aligarh, Uttar Pradesh, India. He earned his M.Sc. in Inorganic Chemistry from Jamia Millia Islamia, New Delhi. With over five years of teaching and research experience, his expertise includes nanomaterials, nanocomposites, waste valorization, environmental remediation, and sustainable materials. His research focuses on the green synthesis of nanocomposites from agricultural biomass and electronic waste for environmental applications. He has published research articles and book chapters in reputed journals and actively contributes to sustainable nanotechnology, photocatalysis, wastewater treatment, and chemistry education.
Dr Satish Kumar Das is presently working as an Assistant Professor in the Department of Computer Science and Engineering at Rajiv Gandhi University, Arunachal Pradesh, India. Before joining Rajiv Gandhi University, he served as a Lecturer in the North Eastern Regional Institute of Management (NERIM), Guwahati, Assam from 2008 to 2011. Dr. Das Completed his B.E. in CSE from Jorhat Engineering College, Assam, followed by M.Tech in IT from Tezpur University, Assam. He was awarded Ph.D by Rajjiv Gandhi University, for his research work in Speech Processing. Prior to his academic carrier, he gained valuable industry experience.
Jayalakshmi J has completed B.E in the department of Computer Science and Engineering at Sree Sastha college of engineering and M.E. in the department of Computer Science and Engineering at Jaya Engineering College. Working at Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College as Assistant Professor. She has 2+ years experience in teaching. Her research domain is Deep Learning, Artificial Intelligence and Image Processing. She has published various papers. She has published a patent and Book Chapter in her field.
Dr. A. Rajesh Kanna is an accomplished academician, researcher, and author in the field of Energy and Petroleum engineering. He is an Associate Professor at AMET University, Chennai, and holds a Ph.D. in Petroleum Engineering. His research contributions span sustainable energy technologies, hydrogen energy, microbial enhanced oil recovery, and innovative approaches for cleaner energy solutions. Through his teaching, research publications, and technology development initiatives, he continues to inspire the next generation of engineers and contribute to the advancement of the energy sector.
