Artificial Intelligence in Multi domain Systems for Intelligent Decision Making and Automation

R. Muthuselvi, G. Nirmala, Sangeetha K.P , P. Shasikala

Indexed In: Google scholar

Release Date: 2025 | Copyright:©2025 | Pages: 441

DOI: To be updated

ISBN10: 0 | ISBN13: 0

Hardcover:$300

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'Artificial Intelligence Integration in Multi-Domain Systems for Advanced Decision-Making and Automation' explores the transformative potential of AI across various domains, focusing on how it enhances decision-making, optimization, and automation. The book delves into AI's role in systems that operate across industries such as healthcare, finance, manufacturing, and logistics. By examining the intersection of AI technologies like machine learning, deep learning, and robotics, it highlights their ability to streamline complex processes, improve predictive analytics, and enable autonomous operations. This comprehensive work serves as a guide for professionals seeking to leverage AI for innovation in multi-domain applications.

This book offers an in-depth exploration of how Artificial Intelligence (AI) is revolutionizing multi-domain systems, enhancing decision-making, and driving automation across diverse sectors. It covers key AI technologies such as machine learning, deep learning, reinforcement learning, and natural language processing, demonstrating their application in industries ranging from healthcare and finance to manufacturing, smart cities, and supply chain management. The book emphasizes the integration of AI systems to streamline complex processes, optimize resources, and enable real-time decision-making. Case studies and real-world examples illustrate how AI fosters cross-domain innovation, improving efficiency and fostering autonomous systems. Topics include AI in predictive analytics, autonomous systems, human-AI collaboration, and the ethical considerations of implementing AI-driven automation in diverse environments. The book aims to equip professionals, researchers, and students with a comprehensive understanding of AI's transformative role in shaping the future of multi-domain decision-making and automation.

Table Of Contents

Detailed Table Of Contents


Chapter 1

AI Enabled Decision Support Systems for Real Time Industrial Process Automation and Optimization

C.Harriet Linda, Swati Bula Patil, Sreekanth Ramasamy

(Pages:36)

Chapter 2

Machine Learning Based Predictive Maintenance Models in Manufacturing and Production Systems

Ramu Swaminathan, Swati Bula Patil, Gedion Habtay

(Pages:35)

Chapter 3

Fuzzy Logic and Evolutionary Computing in Adaptive Control Systems and Process Engineering

Anuja D. Mate, Swati Bula Patil, Prema Subhash Kadam

(Pages:33)

Chapter 4

Digital Twin and AI Integration for Predictive Modeling and Lifecycle Management of Engineering Assets

Madhura Eknath Sanap, Prapti V. Kallawar, L.Pushpalatha

(Pages:39)

Chapter 5

Deep Learning Architectures for Intelligent Image Analysis and Pattern Recognition in Healthcare

Gitanjali Bhimrao Yadav, Swati Bula Patil, Anup Ingle

(Pages:33)

Chapter 6

AI in Precision Medicine for Personalized Treatment Planning and Disease Prediction

R. Priya, Swati Bula Patil, Anurag Singh

(Pages:37)

Chapter 9

Smart Water Management Systems in Urban and Rural Infrastructure Development

Rupa Manoj Rawal, Aparna Parag Kulkarni, Divyaa N

(Pages:37)

Chapter 10

AI-Assisted Decision-Making Models for Disaster Forecasting, Risk Mitigation, and Emergency Response Coordination

Sheetal sandeep patil, Gunjali Singh, S.Rajalakshmi

(Pages:33)

Chapter 11

AI Powered Cybersecurity Frameworks for Intrusion Detection and Threat Intelligence in Smart Infrastructure.

K.P.Sangeetha, P.shasikala, Madhavi Abhijit Mohite

(Pages:31)

Chapter 12

Sangita Gautam Lade, Sangamesh Kalyane, S. Rajalakshmi

Sangita Gautam Lade, Sangamesh Kalyane, S. Rajalakshmi

(Pages:33)

Chapter 13

AI Based Smart Classroom Systems for Personalized Learning and Educational Outcome Analytics

R. Dheivanai, Gajanan Vishwanath Ghuge, Anup Ingle

(Pages:37)

Chapter 14

Reinforcement Learning Techniques for Autonomous Navigation and Control in Robotics and Drones

T. Nikil Prakash, Gajanan Vishwanath Ghuge, Anup Ingle

(Pages:39)

Chapter 15

AI Driven Smart Grid Management and Load Forecasting in Energy Distribution Networks

Umesh Trambakrao Kute, Dipali Maulesh Raval, Madhavi Abhijit Mohite

(Pages:32)


Contributions


Dr.R.Muthuselvi is working as Professor in Department of Information Technology in Kamaraj College of Engineering and Technology. She completed her UG degree in Electrical and Electronics Engineering through Thiagarajar College of Engineering in Madurai in 1989. She completed her PG degree in Computer Science and Engineering through MEPCO SCHLENK College of Engineering, Sivakasi in the year 2001. She completed her Doctoral degree in Information and Communication Engineering through Anna University, Chennai in 2012.Her area of interest includes High Performance Computing and Internet of Things. She is acting as Reviewer for Journal of Parallel and Distributed Computing, Elsevier.She has 32 years of experience in teaching profession.  She is a subject expert in Computer Architecture, Multi core architecture and Programming, Operating Systems, Distributed Systems and Parallel Algorithms.She has published more than 30 papers in International Journals and Conferences. She has participated in more than 70 FDPs and Workshops. She has organized more than 20 events. She is the life member in the professional societies, ISTE and IE. The team guided by her got selected to. receive ₹1,00,000 in Niral Thiruvizha under Naan Mudhalvan scheme in 2024. She also guided the team to win third prize ₹1,00,000 cash award winner in Unisys Innovation Progam year 13 during 2022.

Dr.G.Nirmala is working as Assistant Professor in Department of Computer Science and Engineering in Mepco Schlenk Engineering College, Sivakasi. She completed her UG degree in Computer Science and Engineering. She completed her PG degree in Computer Science and Engineering through Thiagarajar College of Engineering, Madurai. She completed her Doctoral degree in Information and Communication Engineering through Anna University, Chennai. Her research interests include Machine Learning and Artificial Intelligence. She has 18 years of experience in teaching profession. She has published more than 35 papers in International Journals and Conferences.

Ms. Sangeetha K.P is a faculty member in the Department of Cyber Security at ACS College of Engineering, Bengaluru, and is currently pursuing her Ph.D. at Apollo University, Chittoor. Her research focuses on artificial intelligence, cybersecurity(cryptography) blockchain, and intelligent automation. She has published papers in reputed venues including IEEE and has signed three Memorandums of Understanding (MoUs) with industry partners to bridge academia–industry collaboration. She actively guides student projects in emerging technologies and is passionate about applying AI in multidomain systems for secure and intelligent decision-making

Mrs.P.Shasikala is a faculty member in the Department of computer science and engineering (IOT)at ACS College of Engineering, Bengaluru, and is currently pursuing her Ph.D.in

Dr M.G.R Educational and Research Institute University Her research focuses on artificial intelligence, blockchain, and intelligent automation. She has published papers in reputed venues including IEEE . She actively guides student projects in emerging technologies and is passionate about applying AI in multidomain systems for secure and intelligent decision-making.

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