Bio-inspired Neurocomputing
(Sprache: Englisch)
This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical...
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Klappentext zu „Bio-inspired Neurocomputing “
This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchersas well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.
Inhaltsverzeichnis zu „Bio-inspired Neurocomputing “
Performance Measurement of various Hybridized kernels for Noise Normalization.- A precise analysis of Deep Learning for Medical Image Processing.- Artificial Intelligence for Internet of Things.- A Brief Review on Brain Tumour Detection.- Deep Learning Techniques for Electronic Health.- A Review on Psychological Brainwaves Behavior.
Autoren-Porträt
Dr. Akash Kumar Bhoi [PhD (Sikkim Manipal University), M.Tech (Karunya University), B.Tech (TAT, BPUT)] working as Assistant Professor in the Department of Electrical and Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT), SMU, India. He has specialized in the field of Biomedical Engineering. His areas of research are biomedical signal processing, Medical Image Processing, Computational Approaches and Pattern Recognition etc.. He is also a regular reviewer of journals of repute namely IEEE, Springer, Elsevier, Taylor and Francis, Inderscience etc. He has published several papers in national and international journals and conferences. He has also served on numerous organizing panels for the international conferences and workshops. He is currently editing several books with Springer Nature and serving as Guest editor for special issues of the journal like Springer Nature and Inderscience. Dr. Pradeep Kumar Mallick is currently working as Associate Professor in the School of Computer Engineering, Kalinga Institute of Industrial technology (KIIT) Deemed to be University, Odisha, India. He was a postdoctoral fellow in Kongju National University South Korea. He received his PhD from Siksha O Anusandhan University, M.Tech. (CSE) from Biju Patnaik University of Technology (BPUT), and MCA from Fakir Mohan University Balasore, India. Besides academics, he is also involved in various administrative activities - he is a Member of Board of Studies, Member of Doctoral Research Evaluation Committee, and Admission Committee. His areas of research include algorithm design and analysis, data mining, image processing, soft computing, and machine learning. He has published 5 books and more than 55 research papers in national and international journals and conference proceedings.
Dr. Chuan-Ming Liu is a professor in the Department of Computer Science and Information Engineering (CSIE), National Taipei University of Technology (Taipei
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Tech), TAIWAN, where he was the Department Chair from 2013-2017. Currently, he is pointed to be the Head of the Extension Education Center at the same school. Dr. Liu received his Ph.D. in Computer Science from Purdue University in 2002 and joined the CSIE Department in Taipei Tech in the spring of 2003. In 2010 and 2011, he has held visiting appointments with Auburn University, Auburn, AL, USA, and the Beijing Institute of Technology, Beijing, China. He has services in many journals, conferences and societies as well as published more than 100 papers in many prestigious journals and international conferences. Dr. Liu was the co-recipients of many conference best paper awards, including ICUFN 2015 Excellent Paper Award, ICS 2016 Outstanding Paper Award, and WOCC 2018 Best Paper Award. His current research interests include big data management and processing, uncertain data management, data science, spatial data processing, data streams, ad-hoc and sensor networks, location-based services.
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Bibliographische Angaben
- 2021, 1st ed. 2021, XII, 427 Seiten, 111 farbige Abbildungen, Maße: 16,3 x 23,7 cm, Kartoniert (TB), Englisch
- Herausgegeben: Akash Kumar Bhoi, Pradeep Kumar Mallick, Chuan-Ming Liu, Valentina E. Balas
- Verlag: Springer, Berlin
- ISBN-10: 9811554978
- ISBN-13: 9789811554971
Sprache:
Englisch
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