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001439922 001__ 1439922
001439922 003__ OCoLC
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001439922 019__ $$a1269202710$$a1272991732$$a1284940638
001439922 020__ $$a9783030761677$$q(electronic bk.)
001439922 020__ $$a3030761673$$q(electronic bk.)
001439922 020__ $$z9783030761660
001439922 020__ $$z3030761665
001439922 0247_ $$a10.1007/978-3-030-76167-7$$2doi
001439922 035__ $$aSP(OCoLC)1269094925
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001439922 049__ $$aISEA
001439922 050_4 $$aQ325.5$$b.C66 2021eb
001439922 08204 $$a006.3/1$$223
001439922 24500 $$aConcepts and real-time applications of deep learning /$$cSmriti Srivastava, Manju Khari, Ruben Gonzalez Crespo, Gopal Chaudhary, Parul Arora, editors.
001439922 264_1 $$aCham :$$bSpringer,$$c[2021]
001439922 264_4 $$c©2021
001439922 300__ $$a1 online resource (x, 209 pages :$$billustrations (chiefly color))
001439922 336__ $$atext$$btxt$$2rdacontent
001439922 337__ $$acomputer$$bc$$2rdamedia
001439922 338__ $$aonline resource$$bcr$$2rdacarrier
001439922 4901_ $$aEAI/Springer innovations in communication and computing
001439922 500__ $$aIncludes index.
001439922 50500 $$gPart I.$$tConcepts of Deep Learning: Recognition Systems --$$tEmotion Recognition from Speech Using Deep Neural Network --$$tText-Independent Speaker Recognition Using Deep Learning --$$tA Qualitative and Quantitative Research of Machine Learning Algorithms for Gait Analysis and Recognition --$$tEmotion Recognition from Speech Signals Using Machine Learning and Deep Learning Techniques --$$tMicro-expression Detection Using Main Directional Maximal Differential Analysis (MDMD) Method --$$gPart II.$$tConcepts of Deep Learning: Healthcare Systems --$$tSurvival Prediction of Cancer Patient Using Machine Learning --$$tSkin Lesion Segmentation Using Deep Convolutional Networks --$$tBone Cancer Survivability Prognosis with KNN and Genetic Algorithms --$$tBeamAtt: Generating Medical Diagnosis from Chest X-Rays Using Sampling-Based Intelligence --$$gPart III.$$tReal-Time Applications of Deep Learning --$$tCNN-Based Driver Drowsiness Detection System --$$tForecasting Using Deep Learning Approaches --$$tA Low-Cost IOT and Deep Learning Enabled Precision Agriculture Support System for Indian Diverse Environment.
001439922 506__ $$aAccess limited to authorized users.
001439922 520__ $$aThis book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields. Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures; Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies; Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.
001439922 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 7, 2021).
001439922 650_0 $$aMachine learning.
001439922 650_6 $$aApprentissage automatique.
001439922 655_0 $$aElectronic books.
001439922 7001_ $$aSrivastava, Smriti,$$eeditor.
001439922 7001_ $$aKhari, Manju,$$eeditor.
001439922 7001_ $$aGonzalez Crespo, Ruben,$$eeditor.
001439922 7001_ $$aChaudhary, Gopal,$$eeditor.
001439922 7001_ $$aArora, Parul,$$eeditor.
001439922 77608 $$iPrint version:$$z3030761665$$z9783030761660$$w(OCoLC)1246351384
001439922 830_0 $$aEAI/Springer innovations in communication and computing.
001439922 852__ $$bebk
001439922 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-76167-7$$zOnline Access$$91397441.1
001439922 909CO $$ooai:library.usi.edu:1439922$$pGLOBAL_SET
001439922 980__ $$aBIB
001439922 980__ $$aEBOOK
001439922 982__ $$aEbook
001439922 983__ $$aOnline
001439922 994__ $$a92$$bISE