Advances and Applications of Artificial Intelligence & Machine Learning

ISBN-13: 9789819959730 / Angielski / Twarda / 2023

Opis

This volume comprises the select peer-reviewed proceedings of the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also covers research in core concepts of computers, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, software engineering, image processing, and cloud computing. This volume will provide a valuable resource for those in academia and industry.

Spis treści

Cloud computing and Virtualization.- Computer Network and Sensors.- Big Data and Data Mining.- Artificial Intelligence and its applications in Smart Education.- Cloud Computing enabling Technologies and their applications.- Image/ Video Processing.- Algorithm and Design.- IoT and Automation.- Software Engineering.- Soft Computing.- Machine Learning applications in Smart Healthcare, Manufacturing and Smart Transportation.- Image Processing applications in Smart Agriculture.- Security and Privacy Challenges and Data Analytics.- Challenges of Smart Cities and Future research directions.- Application of Artificial Intelligence and Machine Learning in production and Mechanical Engineering systems.- Applications of Artificial Intelligence and Machine learning in Biotechnology.- Infrastructure and Resource Development & Management using Artificial Intelligence and Machine learning.

O autorze

Bhuvan Unhelker is an accomplished IT professional and Professor of IT at the University of South Florida, USA. He is also the Founding Consultant at MethodScience and a Co-Founder and Director at PlatiFi. He is proficient in business analysis & requirements modeling, software engineering, Big Data strategies, agile processes, mobile business, and green IT. His domain experience is banking, financial, insurance, government, and telecommunications. Dr. Unhelkar has designed, developed, and customized a suite of industrial courses, which are regularly delivered to business executives and IT professionals globally. Dr. Unhelkar’s thought leadership is reflected through multiple Cutter Executive Reports, various journals, and more than 25 books. He is a winner of the Computerworld Object Developer Award (1995), Consensus IT Professional Award (2006) and IT Writer Award (2010). He has a Doctorate in the area of “Object Orientation” from the University of Technology, Sydney (1997). he is a Fellow of the Australian Computer Society, a Senior Member of IEEE, a Professional Scrum Master, and a Lifetime Member of the Computer Society of India. 

Hari Mohan Pandey is an associate professor in computer science at Edge Hill University, UK. He is specialized in computer science & engineering (undergraduate degree, postgraduate degree and Ph.D.). His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition and machine learning algorithms. He is also the author of various books on computer science and engineering. He has published over 80 scientific papers in reputed journals and conferences. He has also served as session chair, leading guest editor and delivered keynotes. He is also a recipient of the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015”, the award for completing the INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher education.

Arun Prakash Agrawal is currently working as a professor in the Department of computer science and Engineering at Sharda University, Greater Noida, India. He obtained his Master's 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 and national 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 has rich experience in organizing international conferences and has chaired several sessions in conferences of repute. He is also on the reviewer board of several SCI/Scopus-indexed international journals. 

Ankur Choudhary is a professor in the Department of Computer Science and Engineering at Sharda University, Greater Noida, India. He is also the Deputy Director of the Teaching & Learning Centre at Sharda University. He is majoring in Computer Science and Engineering and pursued Ph.D. from the School of ICT, Gautam Buddha University (GBU), Greater Noida, India. His area of research is nature-inspired optimization, artificial intelligence, software engineering, medical image processing and digital watermarking. He has published research papers in various SCI/Scopus-indexed international conferences and journals. He has also organized various special sessions at international conferences, served as session chair and delivered keynotes.