TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-15-5495-7
DO  - doi
AB  - 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.
T1  - Bio-inspired neurocomputing /
DA  - [2021]
CY  - Singapore :
AU  - Bhoi, Akash Kumar.
AU  - Mallick, Pradeep Kumar,
AU  - Liu, Chuan-Ming.
AU  - Balas, Valentina Emilia.
VL  - v. 903
CN  - QA76.9.N37
PB  - Springer,
PP  - Singapore :
PY  - [2021]
ID  - 1431688
KW  - Natural computation.
KW  - Neural computers.
KW  - Artificial intelligence.
KW  - Calcul naturel.
KW  - Ordinateurs neuronaux.
KW  - Intelligence artificielle.
SN  - 9789811554957
SN  - 9811554951
SN  - 9789811554964
SN  - 981155496X
SN  - 9789811554971
SN  - 9811554978
TI  - Bio-inspired neurocomputing /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5495-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5495-7
ER  -