Handbook of Research on Emerging Trends and Applications of Machine Learning

Handbook of Research on Emerging Trends and Applications of Machine Learning

Release Date: December, 2019|Copyright: © 2020 |Pages: 674
DOI: 10.4018/978-1-5225-9643-1
ISBN13: 9781522596431|ISBN10: 1522596437|EISBN13: 9781522596455
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Description & Coverage
Description:

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world.

The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Disease Identification
  • Image Processing
  • Natural Language Processing
  • Personalized Treatment
  • Predictive Analytics
  • Risk Management
  • Robotics
  • Seismic Data Processing
  • Smart Grid Management
  • Text Analysis
Table of Contents
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Editor/Author Biographies

Arun Solanki is working in the Department of Computer Science, Gautam Buddha University, Greater Noida, India where he has been since 2009. He has worked as member examination, admission, sports council and other university teams from time to time. He received M. Tech. from YMCA University, Faridabad, Haryana India. He received his Ph.D. in Computer Science and Engineering from the Gautam Buddha University in 2014. More than 50 M.Tech. dissertations are submitted under his guidance. His research interests span Expert System, Machine Learning and Search Engines. He has published many research articles in SCI/Scopus indexed International journal. He has participated in many international conferences. He has been technical and advisory committee members of many conferences. He has organized several FDP, Conferences, Workshops, and Seminars. He has chaired many sessions at International Conferences. Arun Solanki is working as Associate Editor in International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) IGI publisher. He has been working as Guest Editor for special issues in Recent Patents on Computer Science, Bentham Science Publishers. He is the editor of many Books with a reputed publisher like IGI Global, CRC and AAP. He is working as the reviewer in Springer, IGI Global, Elsevier, and other reputed publisher journals.

Sandeep Kumar is an Assistant Professor in Department of Computer Science and Engineering at Amity University Rajasthan, Jaipur. Dr. Sandeep Kumar has received his B.E. in Computer Science and Engineering from Engineering College Kota in year 2005 and M.Tech. in Computer Science and Engineering from RTU Kota in year 2011. He qualified UGC-NET in June 2012. Dr. Sandeep Kumar has obtained his Ph.D. in field of Nature Inspired Computing. He has 10 year teaching experience. His area of interest is theoretical computer science, swarm intelligence and evolutionary computing. Currently he is working on Artificial Bee Colony algorithm, Differential Evolution and Spider Monkey optimization algorithms. He has published more than 50 research papers in various SCI/SCOPUS/ESCI journals/conference proceedings and authored two books and 4 book chapter. He has supervised two Ph.D. thesis and 4 are in progress.

Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks. He is currently working in Graduate School, Duy Tan University, Da Nang, Vietnam. A Certified Professional with 75+ Professional certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 300 Research Papers in various National & International Conferences, International Journals (Scopus/SCI/SCIE/SSCI Indexed). Member of more than 50+ Associations as Senior and Life Member and also acting as ACM Distinguished Speaker. He has authored/co-authored cum Edited 25 Books of Computer Science. Associated with more than 400 International Conferences as Programme Committee/Advisory Board/Review Board member. He has 2 Patents to his name in the area of Internet of Things, Speech Processing. He is currently working in the area of Wireless Sensor Networks, MANETS, Swarm Intelligence, Cloud Computing, Internet of Things, Blockchain, Machine Learning, Deep Learning, Cyber Security, Network Simulation, Wireless Communications. Awarded 20+ Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Indo-International Emerging Star Award (to name a few). He is acting as Editor in Chief of IGI-Global Journal titled "International Journal of Smart Vehicles and Smart Transportation (IJSVST)".

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