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| Publisher | Apple Academic Press |
| ISBN 10 | 1774634791 |
| Language | English |
| About the Author | Chiranji Lal Chowdhary, PhD, is currently Associate Professor in the School of Information Technology & Engineering at VIT Vellore, India. He has over 15 years of experience in academia and industry. He has published many papers in refereed journals and has attended international conferences. He has contributed many chapters and is currently in the process of editing several books. He has received awards for publishing research papers from VIT University several times. His publications have been indexed by Clarivate Analytics, IEEE Computer Society, SCOPUS, the ACM Digital Library, and other abstract and citation databases. He has guided more than 20 graduate projects and more than 20 postgraduate-level projects. Dr. Chowdhary is a reviewer for many reputed journals and is a life member of the Computer Society of India, the Indian Science Congress Association, and the Indian Society for Technical Education. His current research includes digital image processing, deep learning, pattern recognition, soft computing, and biometric systems. |
| Number of Pages | 294 pages |
| ISBN 13 | 9781774634790 |
| Author | Chiranji Lal Chowdhary |
| Book Description | This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more. |
| Publication Date | 13 December 2021 |
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