Machine Intelligence in Mechanical Engineering

K. Palanikumar is a professor and principal at Sri Sai Ram Institute of Technology, Chennai, India. He has more than 25 years of experience in teaching and research. He received a “National Best Researcher Award” from ISTE and published more than 100 papers in SCI Journals.Elango Natarajan is a chartered mechanical engineer (CEng.), who specialized in mechanical engineering design, CAE, optimization, and soft robotics. He has worked for engineering colleges/universities for over 20 years in various academic positions.Dr. S. Ramesh is an Assistant Professor (SS) in the Department of Mechatronics Engineering, Rajalakshmi Engineering College, Thandalam, Chennai. He has completed his Ph.D. degree in Embedded Systems/ Machine Learning from VIT University, Chennai in 2020, an M. Tech. Degree in Embedded Systems from SRM University, Chennai, Tamilnadu, India in 2011, B.E. Degree from National Engineering College, Kovilpatti, Tamilnadu, India in 2008. In addition to this, he is currently doing Post Doctoral Research in Malaysia. He has over 13 years of Teaching and Research Experience at various Universities and Engineering Colleges around India. Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.

• 1. Machine Intelligence in Mechanical Engineering: An Introduction2. A smart production line management system using Face Recognition and Augmented reality3. Maintenance Optimization through Equipment Performance Prediction using Machine Learning based on In line Instrument Datasets – A surface Condenser Case Study4. Minimizing inter-cellular movement of parts and maximizing the utilization of machines using Correlation index-based clustering algorithm5. Application of Augmented Reality and Virtual Reality Technologies for Maintenance and Repair of Automobile and Equipment in Mechanical Engineering6. Application of Machine Vision Technology in Manufacturing Industries-A study 7. Estimation of Wing Stall Delay Characteristics with Outward Dimples using Numerical Analysis 8. An IoT-based integrated safety framework of autonomous vehicles for Special Needs Society9. Motion Planning and Control for Autonomous Vehicle Collision Avoidance System Using Potential Field-Based Parameter Scheduling10. Long-Term Predictive Maintenance System with Application and Commercialization to Industrial Conveyors 11. Predicting the mechanical behavior of CFRP using machine learning methods: a systematic review12. Application of computationally intelligent modelling to glass fibre-reinforced plastics drilling13. Applied Advanced Analytics in Marketing of Mechanical Products14. Information and Communication Technologies: Enablers for the successful implementation of Supply Chain 4.0 15. Machine Learning Implementation in Tyre Compounding 16. Machine Intelligence based learning for ecological transportation17. A review on social impacts of automation on human capital in Malaysia 18. Autonomous systems with intelligent agents.19. Human-Like Driver Model for Emergency Collision Avoidance using Non-linear Autoregressive with Exoganeous Inputs Neural Network 20. Securing Cloud Application using SHAKE256 Hash Algorithm & Antiforgery token in industrial environment21. Deep Learning Applied Solid Waste Recognition Targeting Sustainable Development Goal