Hybrid Artificial Intelligence Models for Predictive Analytics Deep Learning and Adaptive Systems
Dr. M.S. Godwin Premi, Dr. S.N. Sangeetha, Dr. P. Parthasarathi, Dr. Uma Devi A
Indexed In: Google Scholar
Release Date: 04/07/2025 | Copyright:©2025 | Pages: 444
DOI: 10.71443/9789349552630
ISBN10: 9349552639 | ISBN13: 9789349552630
Hybrid Artificial Intelligence (AI) models for predictive analytics combine the strengths of deep learning and adaptive systems to enhance decision-making and forecasting accuracy. These models integrate neural networks’ ability to process large, complex datasets with adaptive algorithms that adjust to changing data patterns in real time. By merging data-driven learning with rule-based or evolutionary components, hybrid AI systems can tackle non-linear problems, uncover hidden trends, and deliver more reliable predictions. This approach is especially valuable in dynamic environments like finance, healthcare, and smart industries, where continuous learning and system adaptability are crucial for maintaining high performance and relevant insights.
Hybrid Artificial Intelligence (AI) models combine the strengths of multiple AI paradigms, such as symbolic reasoning, machine learning, and deep learning, to enhance predictive analytics and adaptive systems. By integrating rule-based logic with neural networks, these models achieve better interpretability, accuracy, and flexibility in handling complex, dynamic data. In predictive analytics, hybrid AI enables more reliable forecasts by leveraging vast datasets and contextual knowledge. Adaptive systems powered by hybrid AI continuously learn and adjust to changing environments, making them valuable in fields like finance, healthcare, and smart manufacturing. This synergy drives more robust decision-making and real-time intelligent automation.
Dr. M.S. Godwin Premi is a Professor at Sathyabama Institute of Science and Technology, having 25+ years of experience in teaching and research. With a remarkable academic background, including a Ph.D. from Sathyabama University, she has authored 100+ peer-reviewed publications and successfully completed sponsored projects worth ₹1 crore. A recipient of numerous prestigious awards, including the Best Faculty Award from IE(I) and Recognition as Academic Mentor by IEEE India Council, Dr. Premi's research expertise spans image processing, Artificial Intelligence, Deep Learning, and Sensor Networks. As a Senior Member of IEEE and IEEE Student Branch Counselor, she continues to inspire and mentor the next generation of innovators.
Dr.S.N.Sangeethaa received the Ph.D. degree in Computer Science and Engineering from Anna University, India. She is a Professor and currently working in the Department of Computer science and Engineering, Bannari Amman Institute of Technology, TamilNadu, India. Her research interests include Artificial Intelligence, Machine Learning, and Image Processing. She has published 25 papers in International and National Journals. She has written the books such as Human Computer Interaction, Data Structures, Artificial Intelligence and Machine Learning, Theory of Computation, Database Management Systems, software Project Management as per the syllabus of Anna University and published in Lakshmi Publications, Chennai. She is the member of professional bodies such as IEEE, The Indian Society for Technical Education (ISTE) and Institution of Engineering and Technology (IET). She has organized several Faculty Development Programs, International Conferences, Seminars and workshops. She has delivered 7 guest lecturers in various colleges. She is currently doing research in medical Image Processing.
Dr. P. Parthasarathi is currently working as Associate Professor, Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Erode, India. He has completed his research in Dynamic Key Management in Secure Group Communication at Anna University, Chennai, India. He has completed his Master of Engineering in Computer Science and Engineering in 2010 at Bannari Amman Institute of Technology, Erode Tamilnadu, India and he has completed Bachelor of Engineering in Computer Science and Engineering at Mookambigai College of Engineering, Trichy, Tamilnadu, India. He is having life Time Membershp in ISTE and yearly memerhip in IEEE. He is having wonderful records of publication with good citations. His publications include 9 SCI papers, 6 Scopus and 23 technical papers in International Journals, 10 papers in International Conference and 8 papers in National Level Conference. He guided more than 30 projects in both UG and PG.
Dr. Uma Devi A is an accomplished academic with over 15 years of experience as an Assistant Professor of Chemistry at St. Joseph’s College of Engineering, Chennai. Her research journey began in the field of polymers, fuel cells, proton exchange membranes, and corrosion science. In recent years, she has extended her expertise into interdisciplinary domains including data science, machine learning. Her commitment to continuous learning is reflected in her numerous NPTEL certifications, FDPs, and active participation in conferences. As a researcher and educator, Dr. Uma Devi A has deep domain knowledge in chemistry with modern computational tools to tackle pressing technological and environmental challenges.