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001453485 001__ 1453485
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001453485 019__ $$a1352234028$$a1352974906
001453485 020__ $$a9789811961533$$q(electronic bk.)
001453485 020__ $$a9811961530$$q(electronic bk.)
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001453485 0247_ $$a10.1007/978-981-19-6153-3$$2doi
001453485 035__ $$aSP(OCoLC)1353594790
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001453485 08204 $$a006.3/1$$223/eng/20221207
001453485 1112_ $$aInternational Conference on Machine Learning and Applications$$n(20th :$$d2021 :$$cPasadena, Calif.).
001453485 24510 $$aDeep learning applications.$$nVolume 4 /$$cM. Arif Wani, Vasile Palade, editors.
001453485 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001453485 264_4 $$c©2023
001453485 300__ $$a1 online resource (xiv, 384 pages) :$$billustrations (chiefly color).
001453485 336__ $$atext$$btxt$$2rdacontent
001453485 337__ $$acomputer$$bc$$2rdamedia
001453485 338__ $$aonline resource$$bcr$$2rdacarrier
001453485 4901_ $$aAdvances in intelligent systems and computing ;$$vvolume 1434
001453485 500__ $$aInternational conference proceedings.
001453485 5050_ $$aIdentification of Human Papillomavirus from Super Resolution Microscopic Images Generated Using Deep Learning Architectures -- Evaluation of Sequential and Temporally-Embedded Deep Learning Models for Health Outcome Prediction -- Transfer Learning for Depression Screening from Follow-up Clinical Interview Questions -- Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings -- A Comprehensive Analysis of Aspect Oriented Suggestion Extraction from Online Reviews.
001453485 506__ $$aAccess limited to authorized users.
001453485 520__ $$aThis book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.
001453485 588__ $$aDescription based on print version record.
001453485 650_0 $$aDeep learning (Machine learning)$$vCongresses.
001453485 655_0 $$aElectronic books.
001453485 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001453485 655_7 $$aConference papers and proceedings.$$2lcgft
001453485 7001_ $$aWani, M. A.$$q(M. Arif),$$eeditor.$$1https://isni.org/isni/0000000053563908
001453485 7001_ $$aPalade, Vasile,$$d1964-$$eeditor.$$1https://isni.org/isni/0000000037001972
001453485 77608 $$iPrint version:$$aInternational Conference on Machine Learning and Applications (20th : 2021), creator.$$tDeep learning applications. Volume 4.$$dSingapore : Springer Nature Singapore, 2022$$z9789811961526$$w(OCoLC)1346948174
001453485 830_0 $$aAdvances in intelligent systems and computing ;$$v1434.
001453485 852__ $$bebk
001453485 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-6153-3$$zOnline Access$$91397441.1
001453485 909CO $$ooai:library.usi.edu:1453485$$pGLOBAL_SET
001453485 980__ $$aBIB
001453485 980__ $$aEBOOK
001453485 982__ $$aEbook
001453485 983__ $$aOnline
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