1st Edition
Computational Intelligence in Industry 4.0 and 5.0 Applications Trends, Challenges and Applications
Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.
Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.
Industry 4.0, integrates data and intelligent automation into manufacturing, using technologies like CI, IoT, IIoT, and Cloud Computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and 5.0 are undergoing significant transformations due to advances in applying AI, big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and Big Data Analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.
1. Industry 4.0: Challenges and Issues Encountered in Manufacturing and Testing of MEMS Devices
Hemant Narayan, M Prakash, B Shakila, R Kumar, and Sivakumar Annamalai Palanivel
2. The Industrial Internet of Things (IIoT): Overview, Architecture, and Challenges
Oladeji Oluniyi Olanrele, Sunday Adeola Ajagbe, Okikiade Ilori, and Oluseyi Afolabi Adeyemi
3. Artificial Intelligence in Industry 5.0: Transforming Manufacturing through Machine Learning and Robotics in Collaborative age
Bhanu Priya, Vivek Sharma, Joseph Bamidele Awotunde, and Abidemi Emmanuel Adeniyi
4. Computational Intelligence in Industrial Internet of Things
Nibedita Priyadarsini Mohapatra, Sudhir Ranajan Pattanaik, Mesfin Abebe, and Ming-Jer Chiang
5. Security, Privacy, Trust, and Other Issues in Industries 4.0 and 5.0
Abidemi Emmanuel Adeniyi, Rasheed Gbenga Jimoh, Joseph Bamidele Awotunde, Deborah Olufemi Ninan, Halleluyah Oluwatobi Aworinde, Adedoyin Oyebade, Peace Busola Falola, and Abdulrauf Olarenwaju Babatunde
6. Fine-Tuning for Deep Learning Model in Optimizing Ransomware Attack Detection on Industry 4.0 and 5.0 Era
Ahmad Sanmorino, Rendra Gustriansyah, Shinta Puspasari, Joseph Bamidele Awotunde, and Demóstenes Zegarra Rodríguez
7. Blockchain in Industry 4.0 and Industry 5.0: A Paradigm Shift towards Decentralized Efficiency and Autonomous Ecosystems
Manjushree Nayak, Asish Panigrahi, Ashishkumardass, Brojo Kishore Mishra, and Kant Gupta
8. Integration of Digital of Twins in Industry 4.0 and 5.0
Joseph Bamidele Awotunde, Abidemi Emmanuel Adeniyi, and Peace Busola Falola
9. Computational Intelligence in Big Data Analytics
Kingsley Theophilus Igulu, Daniel Dauda Wisdom, Micheal Olaolu Arowolo, and Thipendra P Singh
10. The Role of Augmented Reality, Virtual Reality, and Mixed Reality in Industry 4.0 and 5.0
Peace Busola Falola, Abidemi Emmanuel Adeniy, Joseph Bamidele Awotunde, Solomon Olamilekan Akinola, Mukaila Olagunju, and Odunayo Dauda Olanloye
11. Industry 4.0 Design Principles Technologies and Applications
Lokaiah Pullagura, Biswajit Brahma, Vinaya Kumari N, Ravi Kumar L, Siva Kumar Gowda Katta, and Ronald Chiwariro
12. Industry 4.0 and Computational Intelligence for Fighting COVID-19: A Case Study
Lokaiahpullagura, Biswajit Brahma, Donthamadhusudhana Rao, R S M Lakshmi Patibandla, Siva Kumar Gowda, Katta, and Ronald Chiwarir
Biography
Joseph Bamidele Awotunde is Lecturer II at the Computer Science Department, University of Ilorin, Ilorin, Nigeria. He is the author of more than 40 articles, 30 chapters in book, and more than 25 conference proceedings.
Kamalakanta Muduli is an Associate Professor in Papua New Guinea University of Technology.
Biswajit Brahma is a Senior Data Engineer at McKesson, USA.
