Ubiquitous Machine Learning and Its Applications (Advances in Computational Intelligence and Robotics)

Kumar, Pradeep; Tiwari, Arvind

ISBN 10: 1522525459 / ISBN 13: 9781522525455

Published by Information Science Reference, 2017

About this Item

Seller Inventory # ABLING22Oct2817100109727

Bibliographic Details

• Title: Ubiquitous Machine Learning and Its Applications (Advances in Computational Intelligence and Robotics)
• Publisher: Information Science Reference
• Publication Date: 2017
• Language: English
• ISBN 10: 1522525459
• ISBN 13: 9781522525455
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Computer scientists describe the current understanding and practice of machine learning, both supervised and unsupervised, in a range of fields. They cover mobile vision for a plant biometric system, business applications of deep learning, the significance of affective sciences and machine intelligence in deciphering complexity rooting in urban sciences, coronary heart disease prognosis using machine-learning techniques on patients with type 2 diabetes mellitus, applying machine learning techniques for predicting software reliability, feature-selection algorithms for classifying and clustering, applying optimization techniques to analyze gene expression, an approach to face recognition based on machine learning, and how games improve language in people with language dysfunctions. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)

About the Author

Pradeep Kumar is an Associate Professor in the Department of Computer Science & Information Technology at Maulana Azad National Urdu University, Hyderabad, India. He received his Masters degree in Computer Technology and Applications from Delhi Technological University, formerly Delhi College of Engineering, Delhi University. He completed his Ph.D. from the University School of Information & Communication Technology (USICT), Guru Gobind Singh Indraprastha University (GGSIPU), Delhi. His research interests include software reliability engineering, models for software metrics, machine learning, neural network modeling and soft computing. He has more than 25 publications in journals of international repute including national journals, conferences and proceedings of the international conferences. He is a Member of Association for Computing Machines (ACM), India, Member of Computer Science Teachers Association (CSTA), USA, Senior Member of International Association of Engineers (IAENG), Member of International Association of Computer Science and Information Technology (IACSIT), Singapore and Senior member of Universal Association of Computer and Electronics Engineers (UACEE). He is a member of editorial board for various national and international journals in the field of software engineering and program committee member/reviewer for several international conferences.