Bio-inspired Neurocomputing

Bio-inspired Neurocomputing

by Balas, Valentina E. Bhoi, Akash Kumar Liu, Chuan-Ming Mallick, Pradeep Kumar

Type Book
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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 …

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Title Statements

  • Full title :Bio-inspired Neurocomputing / Akash Kumar Bhoi [edit.]; Pradeep Kumar Mallick [edit.]; Chuan-Ming Liu [edit.]; Valentina E. Balas [edit.]

Summary

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, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

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Edition Statements

  • Publication Date:2021

Publication Statements

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9789811554957, 9811554951, 9789811554964, 981155496X, 9789811554971, 9811554978, 9789811554940, 9811554943
  • DOI:10.1007/978-981-15-5495-7
  • oclc:on1346756298

Table of Contents

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.

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