1st Edition
Artificial Intelligence based Solutions for Industrial Applications
The book "Artificial Intelligence based Solutions for Industrial Applications" aims to examine the utilization of AI technologies in tackling difficult industrial issues and offer readers a thorough comprehension of how these technologies are being employed to address intricate industrial challenges and stimulate innovation. The book explores the fundamental principles of artificial intelligence (AI) and its practical use in industrial environments. The book would help in better understanding of core concepts, present state of art and real time implementation of AI in numerous Industrial Applications. This book is planned to provide the detailed implementation of AI in the industrial sector as well as related case study for in depth understanding.
For better insight for the readers, basic concepts, related work reviews, illustrations, empirical results, and tables are integrated within each chapter to give the readers the opportunity to gain maximum knowledge and for easy understanding of methodology and results presented.
The book introduces a variety of smart algorithms to help in filtering important information and solve problems in the application domains. Application of Machine Learning and Deep Learning in industry demonstrates the capabilities by which it may be used to solve practical problems in the 4th industrial revolution, and it equips readers with the necessary knowledge and tools to design solutions by themselves with the help of theory and practical examples dealt with. The 4th industrial revolution and its consequences on society and organizations are discussed in this book.
This book contains:
- Detailed understanding of Industrial Application of Artificial Intelligence.
- Discussion on core concepts of different machine learning and deep learning techniques such as Artificial Neural Networks, Support Vector Machines, K –Nearest Neighbor, Decision Tree, Logistic Regression and many more.
- Detailed study on various industrial applications of Machine Learning and Deep Learning in Healthcare, Education, Entertainment, Share Market, Manufacturing and many more.
- Case Studies on Industrial Application of Artificial Intelligence
This book is primarily written for graduate students, engineers and academic researchers, industrial practitioners and anyone who wants to optimize production processes, explore AI technology, or stay ahead in the industrial field. It covers the complexities of AI in industrial contexts form core basic understanding to complex implementation.
Chapter 1
Understanding the Fundamentals of Deep Learning for Industrial Applications
Surkhab Shelly, Ravneet Kaur
Chapter 2
Application of Machine Learning/Deep Learning in Healthcare
Rabab Anjum, Mohit Kumar, Zeeshan Rafi, Kunal Nagarkoti, Nimish Srivastava
Chapter 3
Implementing Machine Learning Technology for Smart Agriculture based on Data Collection Systems and Predictive Analytics Use Cases
Raviduth Ramful, Yogesh Beeharry
Chapter 4
Empowering Learners through Generative AI: Human-Centric Design and Machine Learning in Transforming Education
Rishi Raghu, Vijayashree J, Jayashree
Chapter 5
Machine Learning / Deep Learning Use Cases in Education
Radha Sridharan, N S Sukanya, B Sivasakthi, Vinithra Sankaran
Chapter 6
Digital Dark Arts: Combating Trolls with AI Based Solutions
Susan Mathew K, Richa Sharma, Arti Arya
Chapter 7
Artificial Intelligence for Smart Manufacturing Using Digital Twin Technology
Manju Sadasivan, M T Vasumathi, Jayanthi M
Chapter 8
Machine Learning and Deep Learning in Cyber Security
B. Ragavi ,S. Divya , M.R. Mano Jemila , Ahmed A. Elngar
Chapter 9
Artificial Intelligence and Media Industry: Exploring New Avenues and Future
Sapan Kumar Gupta, Md. Rashid Iqubal Siddique, Shahid Shadab Hassan, R.Badlishah Ahmad
Chapter 10
Machine Learning Feature Selection Method for Anatomic Brain MRI in Dementia: A Comparative Study
Anindya Nag, Ayontika Das, Biva Das, Moupriya Das, Anupam Kumar Bairagi
Chapter 11
Study of bio-nanofluid flow via vertical surface: A machine learning approach
Priyanka Chandra, Raja Das, Balakrishnama Manohar, K. Madhusudhan Reddy
Chapter 12
Detection of Bearing Fault Using Vibration Signal Through Multiple Feature Extraction Based Machine Learning Algorithms
Rajeev Kumar, RS Anand, Nipun Jain
Chapter 13
Artificial Neural Network-Based Stock Price Prediction using Levenberg-Marquardt Algorithm
Balakrishnama Manohar, Raja Das, Lakshmi M, Jaykumar Ishvarbhai Prajapati, K. Madhusudhan Reddy
Chapter 14
Technological transformation in learning patterns in Media and Entertainment
Priya Shome, Sumedha Chaudhury, Sudhir Kumar, Sumit Kumar Rohit
Chapter 15
Intelligent Heart Disease Prediction using Machine Learning
Dev Narula, Shalini Mahato, Bam Bahadur Sinha, R. Badlishah Ahmad
Biography
Pooja Jha received her Ph.D. degree in Information Technology from BIT Mesra, Ranchi, India in 2019 and has completed her master’s degree from BIT Mesra, Ranchi, India. She is currently working as Assistant Professor in the Department of CS-IT, Amity University Jharkhand, India since 2017. She has more than 17 years of teaching experience. She has contributed more than 11 research papers. She has published papers in many reputed journals like International Journal of System Assurance Engineering and Management, International Journal of Computer Applications in Technology, Journal of Theoretical and Applied Information Technology etc. She has been a reviewer of International Journal of Software Innovation (IJSI) and an active member of International Association of Engineers (IAENG). She has handled many university students with their scholarly research papers. Recently, she has been assigned as a reviewer of IEEE Madras Section International Conference, MASCON 2021. Her research interests mainly focus on Software metrics, Artificial Intelligence, Machine Learning and Soft Computing. She has been the Session Chairperson of various IEEE conference. She is currently the Head of Department, IT at Amity University Jharkhand.
Shalini Mahato is currently working as Assistant Professor in Department of Electronics and Computer Engineering, National Institute of Advanced Manufacturing Technology, Ranchi (NIAMT), (formerly NIFFT) Ranchi, Jharkhand, India. She has done her Ph.D in Computer Science and Engineering from Birla Institute of Technology, Mesra, Jharkhand, India in 2021. She has completed her M. Tech (Computer Systems and Technology) degree in 2013 and B. Tech (Computer Science and Engineering) degree in 2008 from Maulana Abul Kalam Azaad University (erstwhile WBUT), West Bengal, India. She has worked as a developer in Tata Consultancy Services (TCS). She has contributed to more than 20 research papers out of which 7 are SCI indexed and 6 are Scopus indexed. She has a project selected in MSME Idea Hackathon 2022 sponsored by Ministry of Micro, Small & Medium Enterprises (MSME) Innovative Scheme, Government of India. She is the winner MSME Idea Hackathon 2022. She has 3 Indian patents filed under her name. She organized international conference as a Co-convenor, International Conference on “Global Mental Health and Public Health Challenges and Innovation (GMHPHCI’22)” organized by Indian Institute of Information Technology (IIIT), Ranchi, Jharkhand, India. She has been a resource person in many FDP, Seminar and Conferences. She has been the reviewer of IEEE Access, Journal of Medical Systems, Journal of Intelligent & Fuzzy Systems, and many others. She has been the organizer of many conferences and FDP. She has attended several FDPs and short-term courses in various renowned Institutions like IIT Kharagpur, NIT Patna, NIT Jamshedpur, and many others. Her area of interest includes Machine learning, Soft Computing and Biomedical Signal Processing
Prasanta K. Jana received M. Tech. degree in Computer Science from University of Calcutta in 1988 and Ph. D. in 2000 under the joint supervision of Indian Statistical Institute and Jadavpur University, Kolkata. Currently, he is a Professor (HAG) in the Department of Computer Science and Engineering at Indian Institute of Technology (Indian School of Mines) Dhanbad, India. He has contributed 216 research publications in his credit and co-authored five books, four book chapters and three edited volumes. He has also produced 20 Ph. Ds. As a recognition of his outstanding research contributions, he has been awarded Senior Member of IEEE in 2009. He is also the recipient of Canara Bank Research Publication Award in the year 2015 and 2017. He is also among the World ranking of top 2% (all fields) Indian scientists in Artificial Intelligence surveyed by Stanford University, USA in four consecutive years, i.e., 2020-2024. His current research interest includes Cloud Computing, Fog/edge Computing and Machine Learning with a special interest on Federated Learning. He is in the editorial board of two international journals. He has served as referees in many reputed international journals. Prof. Jana has acted as the General Chair of the International Conferences ICADCML-2022, RAIT-2018 and RAIT-2012, Co-chair of national conference RAIT-2009 and Convener of the workshop WPDC-2008. He has also served as the member of Advisory Committee and Programme Committee of several international conferences. He has made academic visit to several foreign universities including University of Aizu, Japan, Imperial college of London, UK, University of Macau, Macau and Curtin University, Malaysia.
Sudhanshu Maurya is a visiting Post post-doctoral researcher at the University of Luxembourg. He has completed his post-doctoral research at the School of Computer & Communication Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, Perlis, Ministry of Education, Malaysia. He is currently working as Associate Professor CSE & Research Head at Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), India. He is also associated with the Center of Artificial Intelligence & Robotics, Indian Institute of Technology (IIT) Mandi, for AI-based Quantum Cryptographic Techniques research. Dr. Maurya has completed his Ph.D. in Computer Science, with a particular focus on the “Security and Privacy aspect of Mobile Cloud Computing.” He acquired M. Tech CSE (Gold Medalist) from Hemvati Nandan Bahuguna Garhwal Central University, Uttarakhand. His area of research is dedicated to Artificial Intelligence, the Internet of Everything, and Cloud Computing. He has two international Patents (Granted), 13 Indian patents, two edited books, five-course books, and authored/co-authored more than a hundred research papers indexed in Web of Science, SCOPUS, or UGC approved Journals. He has attended several FDPs, short-term courses, conferences, seminars, and workshops in various renowned Institutions like IIT Kharagpur, IIT Guwahati, IIT Patna, NIT Surat, JNU New Delhi, Central University of Rajasthan, and many others. As far as his Professional Affiliations are concerned, he is a senior member of IEEE, IEEE Branch Counselor at SIT Nagpur under IEEE Bombay Section, IEEE Young Professionals, a Professional Member of ACM, a Member of CSI, Computer Society Technical Committee on Cloud Computing, an Associate Member Technologist of the Institute of Engineers (India), and Computer Science Teachers Association (csta.acm.org).
Ines Chihi was born in Tunisia, Inès Chihi obtained her PhD degree in electrical engineering in 2013 and her “Habilitation Universitaire” in 2019 from the National Engineering School of Tunis. Until end 2021, she was a professor in electrical engineering in Tunisia. She is founder and president of the Association of Energy Efficiency and the Environment (AEEE) and member of the first Tunisian Network for Energy Transition. Since January 2022, Inès has joined the Department of Engineering at the University of Luxembourg. Her research focuses on electrical measurement and sensor technologies, with a particular emphasis on smart sensors and the estimation and identification of complex systems with unpredictable behaviours. Her innovative approaches find application in a wide array of fields, including bioengineering, energy, and industry 4.0. Her impactful contributions shape academia and foster a sustainable future.
