1st Edition
Industry 4.0 and Machine Learning Concepts, Strategies, and Innovations for Modern Manufacturing
Chapter 1. A Contactless Health-Monitoring System Using Deep Learning Models
V. G. V. P. Mithrama, M. Sruthi, R. Saketh, K. Swathi, T. Satyanarayan Murthy, A. Sirisha,
Chapter 2. Deep Learning Techniques and Models to Predict Alzheimer’s Disease: A Review
Vishwadha Reddy, Rahul Pavan, Ravi Teja, A. Sirisha, T. Satyanarayana Murthy
Chapter 3. Late Fusion-Assisted Multi-Modal Emotion Recognition from Audio-Visual Data Using Machine Learning Techniques
D. Sunitha, P. Narahari Sastry, Vivek Singh Kushwah
Chapter 4. Research on Optimal Scheduling of Multi-Energy Microgrids Based on a Modified Particle Swarm Optimization Algorithm
Zhou Xun, Wu Jin Wen
Chapter 5. Real-Time Implementation of Scale-Invariant Feature Transform (SIFT) Algorithm-Based Video Stitching Technique to Assist Car Drivers
Pranavanand Satyamurthy, Harivardhagini Subhadra, Haroon Rasheed, Rajasekhara Reddy Boggula
Chapter 6. AI-Driven Workforce Optimization to Improve Productivity and Decision-Making in Industry 4.0
Dinesh Kumar, Shaiqua Taushif Khan, Yamini Sood, Samir N. Ajani, Dharmesh Dhabliya, Anil Kumar,
Chapter 7. Smart Farming with an Intelligent Pesticide and Fertilizer Recommendation System Based on TPF-CNN
Syed Asma, Shaik Neelofar, Madhusudhana Reddy Barusu, M. Sidra Aiman
Chapter 8. Cloud-based Integrated Air and Water Quality Monitoring System
Y. Adline Jancy, S. Boomiha, S. Abinaya, C.Dharshini, K. Prajith
Chapter 9. Gesture-Controlled Smart Home Interface with Real-Time Hand Tracking
Domala Hema, Gullaiahgari Balakrishna Goud, Sainoj Rithin
Chapter 10. Integrating AI and Cobots: Bridging Human and Machine Collaboration in Industry 5.0
M. Nagabhushana Rao, Karimunnisa Shaik, Ramesh Babu Pittala, Venkata Naga Siva Kumar Challa , Dudekula Siddaiah
Chapter 11. Innovative Engineering of a Precision-Controlled Thermal Processing System for Cardiac Stimulation Conductor Insulation Manufacturing
Chia Yew Kit
Chapter 12. Optimization of Material Processing and Data Collection for 3D Construction Printing
Chung Yu Qin
Chapter 13. Predictive Maintenance in Industry 4.0 with AI-Driven Monitoring Systems
Vidya Chitre, Dilip Motwani, Varsha Bhosale, Madhu M. Nashipudmath, Sharmila Shinde
Chapter 14. Robotics and Autonomous Systems: AI-Driven Innovation in Industry
Murad Bashabsheh, Maen Alzubi, Tariq M. Younes
Chapter 15. AI-Powered Sign Language to Speech Synthesis with a Robotic Avatar
Aadil Ferooz, Hashmat Fida
Chapter 16. Machine-Learning-Based Approaches for Predicting Child Mortality
Pavani Vemulapati, Rajitha Datla, Rohit Penki, Jyothi Kumari Thota
Chapter 17. Sign Sense: Real-Time Image Categorization and Object Detection: A Review
Hashmat Fida, Akash Kumar Maurya, Abhishek Kumar, Abhinav Kumar
Chapter 18. AI-Driven Motion Planning for Efficient Oil Palm Harvesting with Robotic Manipulators
Ashish Bagwari, Jyotshana Bagwari, Mohammad Kamrul Hasan, Hakan Koyuncu, Ahmed Alkhayyat
Chapter 19. Enhancing Energy Efficiency in Manufacturing with AI and IoT-Enabled Smart Factories
Vipan Kumar, Monali Gulhane, Shivanshu Katoch, Nitin Rakesh, Anupma Gupta, Dinesh Goyal
Chapter 20. Data-Driven Railway Safety: Deep Learning Models for Automated Wheel Fault Detection and Object Segmentation
Muhammad Zakir Shaikh, Sahil Jatoi, Enrique Nava Baro, Bushra Abro, Bhawani Shankar Chowdhry
Chapter 21. Comparative Analysis of Fuzzy Logic and Machine Learning in Human–Robot Interaction
Maen Alzubi, Murad Bashabsheh
Chapter 22. Machine Learning Models for Crop Management and Disease Detection
Ashaq Hussain Bhat, Hashmat Fida, Arshid Ahmad Wani, Arun Kumar Singh, Ravishankar Tiwari
Chapter 23. Comparative Performance Analysis of Machine Learning Algorithms for Detecting Specific Pollutants in Air
Narala Pravallika, Mekala Teja Sree, Madhusudhana Reddy Barusu, Mangali Sravani
Chapter 24. Dimensional Fit-to-Size Adaptive Automated Packaging System
Ashish Bagwari, Ashrif Samarah, Jyotshana Bagwari, Ciro Rodríguez, Vivek Singh Kushwah, K.S. Sastry, Musti
Chapter 25. Fork Spy: Real-Time Monitoring and Developer Engagement in GitHub Forks
M. Shashank Reddy, M.L.N. Charyulu, Vivek Singh Kushwah, M. Rishikesh Goud, P. Narahari Sastry, R. Karthik
Chapter 26. Energy-Efficient Automation Platform for Industry 4.0 Based on an AI Algorithm
Ashish Bagwari, Vivek Singh Kushwah, K. Vasanth, Jorge Luis Victória Barbosa, Jose Alfredo Herrera Quispe
Biography
Vivek Singh Kushwah is presently working as Professor in the Department of Electronics and Communications Engineering, at Chaitanya Bharathi Institute of Technology affiliated to Osmania University, Hyderabad, India. He is a senior member of the Institute of Electrical and Electronics Engineers and a fellow of IETE. His areas of research interest include microwave engineering, microstrip antennas, and microstrip filters. He has published more than sixty research papers in journals of national and international reputation. He has also published more than twenty papers in conferences.
Ashish Bagwari is the head of the Electronics and Communications Engineering Department at the Women Institute of Technology Dehradun, India. His areas of research interest include cognitive radio networks, mobile communication, sensor networks, wireless networks, analog communication, wireless and 5G communication, digital communication, and mobile ad-hoc networks. He has published more than one hundred and twenty research papers in journals and conferences of national and international reputation.
K. Vasanth serves as Associate professor and head in the Department of Electronics and Communications Engineering, at Chaitanya Bharathi Institute of Technology affiliated to Osmania University, Hyderabad, India. His areas of research interest include signal processing, image processing, video processing, and VLSI signal processing. He has published more than a hundred research papers in journals and conferences of national and international reputation.
Jorge Luis Victória Barbosa serves as full Professor of applied computing at the University of Vale do Rio dos Sinos (UNISINOS), head of the university's Mobile Computing Lab, and a researcher at the Brazilian Council for Scientific and Technological Development. His main research interest is context prediction using context histories, mainly through similarity and pattern analysis. He has published research papers in journals and conferences of national and international repute.
Jose Alfredo Herrera Quispe serves as the Principal professor, and Director of the School of Computer Science, at National Major University of San Marcos, Peru. He is part of the professionalization program at MIT (Massachusetts Institute of Technology - USA), where he completed a ""Master's in Innovation & Design Thinking"". His lines of research are Artificial Intelligence, Data Mining, and Computing applied to the environment. He has published research papers in journals and conferences of national and international repute.
