國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Bio-inspired neurocomputing

Bhoi, Akash Kumar.

Bio-inspired neurocomputing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bio-inspired neurocomputingedited by Akash Kumar Bhoi .. [et al.].
其他作者:	Bhoi, Akash Kumar.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xii, 427 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Natural computation.
電子資源:	https://doi.org/10.1007/978-981-15-5495-7
ISBN:	9789811554957$q(electronic bk.)

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. 216..

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$q(electronic bk.)

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

339160
Natural computation.

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

Dewey Class. No.: 006.382

Bio-inspired neurocomputing
LDR:02517nmm a2200337 a 4500 001 595079
003 DE-He213
005 20200721140252.0
006 m d
007 cr nn 008maaau
008 211005s2021 si s 0 eng d
020 $a 9789811554957$q(electronic bk.)
020 $a 9789811554940$q(paper)
024 7 $a 10.1007/978-981-15-5495-7 $2 doi
035 $a 978-981-15-5495-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.N37 $b B56 2021
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.382 $2 23
090 $a QA76.9.N37 $b B615 2021
245 0 0 $a Bio-inspired neurocomputing $h [electronic resource] / $c edited by Akash Kumar Bhoi .. [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xii, 427 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.903
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.
650 0 $a Natural computation. $3 339160
650 0 $a Neural computers. $3 203673
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Neurosciences. $3 211508
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 567118
700 1 $a Bhoi, Akash Kumar. $3 869089
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-981-15-5495-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)