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001431688 001__ 1431688
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001431688 005__ 20230309003236.0
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001431688 020__ $$a9789811554957$$q(electronic bk.)
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001431688 0247_ $$a10.1007/978-981-15-5495-7$$2doi
001431688 0248_ $$a10.1007/978-981-15-5
001431688 035__ $$aSP(OCoLC)1181844965
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001431688 049__ $$aISEA
001431688 050_4 $$aQA76.9.N37
001431688 08204 $$a006.3/82$$223
001431688 24500 $$aBio-inspired neurocomputing /$$cAkash Kumar Bhoi, Pradeep Kumar Mallick, Chuan-Ming Liu, Valentina E. Balas, editors.
001431688 260__ $$aSingapore :$$bSpringer,$$c[2021]
001431688 300__ $$a1 online resource (427 pages)
001431688 336__ $$atext$$btxt$$2rdacontent
001431688 337__ $$acomputer$$bc$$2rdamedia
001431688 338__ $$aonline resource$$bcr$$2rdacarrier
001431688 347__ $$atext file
001431688 347__ $$bPDF
001431688 4901_ $$aStudies in computational intelligence ;$$vv. 903
001431688 5050_ $$aPerformance 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.
001431688 506__ $$aAccess limited to authorized users.
001431688 520__ $$aThis 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.
001431688 588__ $$aDescription based on print version record.
001431688 650_0 $$aNatural computation.
001431688 650_0 $$aNeural computers.
001431688 650_0 $$aArtificial intelligence.
001431688 650_6 $$aCalcul naturel.
001431688 650_6 $$aOrdinateurs neuronaux.
001431688 650_6 $$aIntelligence artificielle.
001431688 655_0 $$aElectronic books.
001431688 7001_ $$aBhoi, Akash Kumar.
001431688 7001_ $$aMallick, Pradeep Kumar,$$d1984-
001431688 7001_ $$aLiu, Chuan-Ming.
001431688 7001_ $$aBalas, Valentina Emilia.
001431688 77608 $$iPrint version:$$aBhoi, Akash Kumar.$$tBio-Inspired Neurocomputing.$$dSingapore : Springer Singapore Pte. Limited, ©2020$$z9789811554940
001431688 830_0 $$aStudies in computational intelligence ;$$vv. 903.
001431688 852__ $$bebk
001431688 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-5495-7$$zOnline Access$$91397441.1
001431688 909CO $$ooai:library.usi.edu:1431688$$pGLOBAL_SET
001431688 980__ $$aBIB
001431688 980__ $$aEBOOK
001431688 982__ $$aEbook
001431688 983__ $$aOnline
001431688 994__ $$a92$$bISE