Handbook of Machine Learning for Computational Optimization: Applications and Case Studies [Paperback]

Machine Learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques.

Vishal Jain is an Associate Professor in Deptt. of CSE at Sharda University, Greater Noida, India. He has earlier worked with Bharati Vidyapeeths Institute of Computer Applications and Management (BVICAM), New Delhi, India (affiliated with Guru Gobind Singh Indraprastha University, and accredited by the All India Council for Technical Education). He first joined BVICAM as Assistant Professor. Before that, he has worked for several years at the Guru Presmsukh Memorial College of Engineering, Delhi, India. He has more than 350 research citation indices with Google scholar (h-index score 9 and i-10 index 9). He has authored more than 70 research papers in reputed conferences and journals including Web of Science and Scopus. He has authored and edited more than 10 books with various reputed publishers including Springer, Apple Academic Press, Scrivener, Emerald and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, adhoc networks, and sensor networks. He has recipient a Young Active Member Award for the year 201213 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

Sapna Juneja is Professor in IMS, Ghaziabad, India. Earlier she has worked as Professor in Deptt. of CSE at IITM Group of Institutions and BMIET, Sonepat. She has more than 16 years of teaching experience. She completed her doctorate and masters in Computer Science and Engineering from M.D.University, Rohtak in 2018 and 2010 respectively. Her broad area of research is Software RellSr