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Bio-inspired neurocomputing

Bhoi, Akash Kumar.

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Bio-inspired neurocomputing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bio-inspired neurocomputing/ edited by Akash Kumar Bhoi .. [et al.].
other author:	Bhoi, Akash Kumar.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xii, 427 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Natural computation. -
Online resource:	https://doi.org/10.1007/978-981-15-5495-7
ISBN:	9789811554957

Bio-inspired neurocomputing
Bio-inspired neurocomputing[electronic resource] /edited by Akash Kumar Bhoi .. [et al.]. - Singapore :Springer Singapore :2021. - xii, 427 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9031860-949X ;. - Studies in computational intelligence ;v.903..

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.

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.

ISBN: 9789811554957

Standard No.: 10.1007/978-981-15-5495-7doiSubjects--Topical Terms:

1002233
Natural computation.

LC Class. No.: QA76.9.N37 / B56 2021

Dewey Class. No.: 006.382

Bio-inspired neurocomputing
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505 0 $a 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.
520 $a 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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