Machine learning algorithms and applications in engineering Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data build models that explain the world and predict things without having explicit pre programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical transport supply chain and logistics to manufacturing and industrial. Through numerous case studies it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks Machine learning for smart healthcare Rehab A. Rayan Predictive analysis for flood risk mapping utilizing machine learning approach Aditya Singh Sunil Khatri Sandhya Save Hemant Kasturiwale Dependability analysis on CPs using machine learning techniques S. Krishna Narayanan S. Dhanasekaran V. Vasudevan Machine learning for risk analysis Parita Jain Puneet Kumar Aggarwal Kshirja Makar Riya Garg Jaya Mehta Poorvi Chaudhary Machine learning techniques enabled electric vehicle M. Shyamalagowri G Revathy A comparative analysis of established techniques and their applications in the field of gesture detection Muskan Jindal Eshan Bajal Shilpi Sharma Brain computer interface for dream visualization using deep learning Brijesh K. Soni Akhilesh A. Waoo Machine learning and data analysis based breast cancer classification Souvik Das K Rama Chaitanya O B Krishna and J Maiti Accurate automatic functional recognition of proteins : overview and current computational challenges Javier Pérez Rodríguez Morteza Yazdani Prasenjit Chatterjee Taxonomy of shilling attack detection techniques in recommender system Abhishek Majumder Keya Chowdhury Joy Lal Sarkar Machine learning applications in real world time series problems Antonio Manuel Durán Rosal David Guijo Rubio Morteza Yazdani Prasenjit Chatterjee Prediction of selective laser sintering part quality using deep learning Lokesh Kumar Saxena Pramod Kumar Jain CBPP : an efficient algorithm for privacy preserving data publishing of 1 : M micro data with multiple sensitive attributes Jayapradha. J Prakash. M Classification of network traffic on ISP link and analysis of network bandwidth during COVID 19 Ajantha Devi. V Yogendra Malgundkar Bandana Mahapatra Integration of AI Ml in 5G technology toward intelligent connectivity security and challenges Devasis Pradhan Prasanna Kumar Sahu Rajeswari Hla Myo Tun Naw Khu Say Wah.