Applications of Artificial Intelligence and Machine Learning: Select Proceedings of ICAAAIML 2020

by Ankur Choudhary (Editor), Arun Prakash Agrawal (Editor), Rajasvaran Logeswaran (Editor), Bhuvan Unhelkar (Editor)

Overview

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.

Product Details

ISBN-13:	9789811630675
Publisher:	Springer-Verlag New York, LLC
Publication date:	07/27/2021
Series:	Lecture Notes in Electrical Engineering , #778
Sold by:	Barnes & Noble
Format:	eBook
File size:	109 MB
Note:	This product may take a few minutes to download.

About the Author

Ankur Choudhary is a Professor of the Department of Computer Science and Engineering at Sharda University, India. He completed his Ph.D. from Gautam Buddha University (GBU), India. His areas of research are nature-inspired optimization, artificial intelligence, software engineering, medical image processing, and digital watermarking. Dr. Choudhary has over 15 years of academic and research experience. He has published several research papers in conferences and journals. He is associated with various International Journals as a reviewer and editorial board member.

Arun Prakash Agrawal is currently a Professor with the Department of Computer Science and Engineering at Sharda University, India. He obtained his Masters and Ph.D. in Computer Science and Engineering from Guru Gobind Singh Indraprastha University, New Delhi, India. He has several research papers to his credit in refereed journals and conferences of international repute. He has also taught short-term courses at the Swinburne University of Technology, Melbourne, Australia, and Amity Global Business School, Singapore. His research interests include machine learning, software testing, artificial intelligence, and soft computing. He is an active professional member of the IEEE and ACM.

Rajasvaran Logeswaran is Head of the Asia Pacific Centre for Analytics and full Professor of Computing and Engineering at Asia Pacific University of Technology and Innovation (APU), Malaysia. He got his B.E. (Hons) Computing at Imperial College London, the United Kingdom. He completed his Masters and Ph.D. from Multimedia University, Malaysia and post-doctoral research in Korea. His research interest areas are image processing, data compression, neural networks, and data science. Dr. Logeswaran has over 150 publications in books, peer-reviewed journals, and international conference proceedings to his credit. Prof. Logeswaran has been a recipient of several scholarships and awards. He is a Senior Member of the IEEE and Chair of the award-winning IEEE Signal Processing Society Malaysia Chapter. 

Bhuvan Unhelkar (BE, MDBA, MSc, Ph.D.) is an accomplished IT professional and Professor of IT at the University of South Florida at their Sarasota-Manatee campus. He is also Founding Consultant at MethodScience and PlatiFi, with mastery in business analysis&requirements modeling, software engineering, big data strategies, agile processes, mobile business, and green IT. He has a Doctorate in the area of “Object Orientation” from the University of Technology, Sydney, in 1997. His areas of expertise include big data strategies, agile processes, business analysis&requirements modeling, corporate agile development, and quality assurance&testing. His industry experience includes banking, finance, insurance, government, and telecommunications where he develops and applies industry-specific process maps, business transformation approaches, capability enhancement, and quality strategies. Dr. Unhelkar has authored numerous executive reports, journal articles, and 20 books with internationally reputed publishers.

Table of Contents

Chapter 1: Building a Language Data Set in Telugu Using Machine    Learning Techniques to Address Suicidal Ideation and Behaviors in Adolescents.- Chapter 2: Feature Selection and Performance Comparison of Various Machine Learning Classifiers for Analyzing Students’ Performance Using Rapid Miner.- Chapter 3: Internet of Things (IoT) Based Automated Light Intensity Model using NodeMcu ESP 8266 Microcontroller.- Chapter 4: Handwritten Mathematical Symbols Classification Using WEKA.- Chapter 5: Enhancing Socio-Cultural Learning Using Hyperlocal Experience.- Chapter 6: Subsequent Technologies behind IoT and its Development Roadmap Towards Integrated Healthcare Prototype Models.- Chapter 7: Bug Assignment- Utilization of Metadata Features along with Feature Selection and Classifiers.