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Author:   Abhishek Kumar (Assistant Professor, Chitkara University, Department of Computer Science and Engineering, India) ,  Ashutosh Kumar Dubey (Associate Professor, Chitkara University, Department of Computer Science and Engineering, India) ,  Surbhi Bhatia (Associate Professor, King Faisal University, College of Computer Sciences and Information Technology, Saudi Arabia) ,  Swarn Avinash Kumar (Applied Research Scientist, Meta Platforms, Inc., USA)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781839535116

ISBN 10:   1839535113
Pages:   420
Publication Date:   25 October 2022
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: COVID-19 detection in X-ray images using customized CNN model Chapter 2: Introducing deep learning in medical diagnosis Chapter 3: Intelligent approach for network intrusion detection system (NIDS) utilizing machine learning (ML) Chapter 4: Classification methodologies in healthcare Chapter 5: Introducing deep learning in medical domain Chapter 6: Deep-stacked autoencoder for medical image classification Chapter 7: Comparison of machine learning and deep learning algorithms for prediction of coronary heart disease Chapter 8: Revolution in technology-enabled healthcare: Internet of Things Chapter 9: Smart healthcare monitoring framework using IoT with big data analytics Chapter 10: Experimental analysis and investigation of dementia detection framework using EHR-based variant LSTM model Chapter 11: An intelligent agent-based distributed patient scheduling using token-based coordination approach: a case study Chapter 12: Internet of Things (IoT) for the efficient healthcare system Chapter 13: Comprehension of melody representation and speed-up approaches for query by humming system Chapter 14: Python for digital health solutions: elevated outcomes Chapter 15: IoT-enabled healthcare - a paradigm shift Chapter 16: IoT-based cardiovascular prediction framework using deep learning algorithms Chapter 17: An intelligent approach using convolutional neural network (CNN) for early detection of melanoma and other skin diseases Chapter 18: Self-organizing deep learning approach for controlling movements of wheeled apparatus through corneal connotation Chapter 19: Prediction of breast tumour outcome to chemotherapy using statistical MR images through deep learning approaches Chapter 20: Risk analysis and prediction of cancer associated with Type II diabetes: a review

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Author Information

Abhishek Kumar is an assistant professor in the Department of Computer Science and Engineering at the Institute of Engineering and Technology, Chitkara University, India. He has a Doctorate in Computer Science from the University of Madras and is a Post-Doctoral Fellow of the Ingenium Research Group, Universidad De Castilla-La Mancha, Spain. He has published over 80 journal papers and edited 21 books. His research areas include artificial intelligence, image processing, computer vision, data mining, and machine learning. Ashutosh Kumar Dubey is an associate professor in the Department of Computer Science and Engineering at the Institute of Engineering and Technology, Chitkara University, India. He is a Senior Member of IEEE and ACM. His research interests include machine learning, health informatics, and cloud computing. Surbhi Bhatia is an associate professor at the College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She is PMP certified from PMI, USA. She has published 75 papers in reputed journals and conferences and edited 9 books. She has 9 patents from the USA, Australia, and India and has completed 5 research projects from the Ministry of Education and DSR, Saudi Arabia. Her research interests include sentiment analysis, data analytics, and machine learning. Swarn Avinash Kumar is an applied research scientist at Meta Platforms, Inc. (previously Facebook), USA. He has previously worked in software engineering roles at Lyft Inc., Google and Amazon. He has filed multiple patents in the autonomous industry and the machine learning sphere. His research interests include robotics, deep learning, natural language processing, and computer vision. Dac-Nhuong Le is an associate professor in the Department of Computer Science and head of the Faculty of Information Technology at Haiphong University, Vietnam. He has more than 20 years of academic teaching experience and has published more than 80 papers, presentations, and book chapters. His research interests include evolutionary multi-objective optimization, network communication and security, cloud computing, and virtual/argument reality.

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