The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine LearningICAAAIML 2021. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book 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 is a valuable resource for students, academics, and practitioners in the industry working on AI applications.

Covers research in the areas of artificial intelligence, machine learning, and deep learning applications Includes proceedings of ICAAAIML 2021 Valuable resource for students, academics, and practitioners in the industry working on AI applications

Autorentext

Bhuvan Unhelker is an accomplished IT professional and Professor of IT at the University of South Florida, USA. He is also Founding Consultant at Method Science and Co-Founder and Director at PlatiFi. His research areas are 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. He has designed, developed, and customized a suite of industrial courses, which are regularly delivered to business executives and IT professionals globally, including those in Australia, the USA, the UK, China, India, Sri Lanka, New Zealand, Singapore, and Malaysia. His thought leadership is re ected through multiple Cutter Executive Reports, various journals, and 21 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, in 1997. He is Fellow of the Australian Computer Society, Senior Member of IEEE, Professional Scrum Master, and Lifetime Member of the Computer Society of India.

Hari Mohan Pandey is Associate Professor in the Department of Computing and Informatics at Bournemouth University, the UK. He is specialized in computer science and engineering. His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, and machine learning algorithms. Hari is Author of various books in computer science engineering. He has published over 100 scientfic papers in reputed journals and conferences. He is serving on the editorial board of reputed journals as Action Editor, Associate Editor, and Guest Editor. He is Reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, and AAAI. He has delivered expert talks as Keynote and Invited Speaker. He has also givenlectures in the international summer/winter schools. He has been given the prestigious award "The Global Award for the Best Computer Science Faculty of the Year 2015," an award for INDO-US project "GENTLE," and a Certificate of Exceptionalism from the Prime Minister of India. Previously, he worked as Sr. Lecturer in the Computer Science Department at Edge Hill University, the UK, and Research Fellow in Machine Learning at the School of Technology at Middlesex University London, London.

Gaurav Raj is currently working at Sharda University, Greater Noida, India, and has done B.Tech. in CSE from UPTU, M. Tech. in SE from NIT, Allahabad, and Ph.D. in CSE from Punjab Technical University, India. His areas of research are artificial intelligence, cloud computing, software engineering, and web services and security. He has more than 11 years of teaching experience. He has several research papers to his credit published in reputed journals and conferences. He also has several patentspublished to his credit. He has vast experience in organizing faculty development programs, workshops, seminars, and conferences.

Inhalt
Firefly Algorithm and Deep Neural Network Approach for Intrusion Detection.- Dimensionality Reduction Method for Early Detection of Dementia.- Prognostication in Retail World: Analysing Using Opinion Mining.- Impact of Resolution Techniques on Chlorophyll Fluorescence Wheat Images Using Classier Models to Detect Nitrogen Deficiency.- Exploring Practical Deep Learning Approaches for English-to-Hindi Image Caption Translation Using Transformers and Object Detectors