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001454477 001__ 1454477
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001454477 020__ $$a9789811957239$$q(electronic bk.)
001454477 020__ $$a9811957231$$q(electronic bk.)
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001454477 0247_ $$a10.1007/978-981-19-5723-9$$2doi
001454477 035__ $$aSP(OCoLC)1369264565
001454477 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP
001454477 049__ $$aISEA
001454477 050_4 $$aQ325.73
001454477 08204 $$a006.3/1$$223/eng/20230209
001454477 24500 $$aDeep learning technologies for the sustainable development goals :$$bissues and solutions in the post-COVID era /$$cVirender Kadyan, T.P. Singh, Chidiebere Ugwu, editors.
001454477 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001454477 264_4 $$c©2023
001454477 300__ $$a1 online resource (xii, 246 pages) :$$billustrations (some color).
001454477 336__ $$atext$$btxt$$2rdacontent
001454477 337__ $$acomputer$$bc$$2rdamedia
001454477 338__ $$aonline resource$$bcr$$2rdacarrier
001454477 4901_ $$aAdvanced technologies and societal change
001454477 5050_ $$aHow Deep Learning can help in Regulating the Subscription Economy to Ensure Sustainable Consumption and Production Patterns (12th goal of SDGs) -- Deep Technologies using Big Data in: Energy and Waste Management -- QoS aware service provisioning and resource distribution in 4G/5G heterogeneous networks -- Leveraging Fog Computing for Healthcare -- Intelligent self-tuning control design for wastewater treatment plant based on PID and Model Predictive methods -- Impact of Deep learning models for technology sustainability in tourism using Big data analytics -- Study of UAV Management Using Cloud Based Systems -- Contemporary Role of Blockchain in Industry 4.0 -- SDGs Laid Down by UN 2030 Document -- Healthcare 4P: Systematic Review of Applications of Decentralized Trust using Blockchain Technology -- Implementation of An IOT Based Water And Disaster Management System By Using Hybrid Classification Approach -- Knowledge Representation to Expound Deep -- Learning Black Box -- Ann : Concept And Application In Brain Tumor Segmentation -- Automation Of Brain Tumor Segmentation Using Deep Learning -- Transportation Management using IoT Deep Learning to Predict various Traffic States.
001454477 506__ $$aAccess limited to authorized users.
001454477 520__ $$aThis book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. A comprehensive survey on the major applications and research, based on deep learning techniques focused on SDGs through speech and image processing, IoT, security, AR-VR, formal methods, and blockchain, is a feature of this book. In particular, there is a need to extend research into deep learning and its broader application to many sectors and to assess its impact on achieving the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs. The rapid development of deep learning needs to be supported by the organizational insight and oversight necessary for AI-based technologies in general; hence, this book presents and discusses the implications of how deep learning enables the delivery agenda for sustainable development.
001454477 588__ $$aDescription based on print version record.
001454477 61020 $$aSustainable Development Goals.
001454477 650_0 $$aDeep learning (Machine learning)
001454477 655_0 $$aElectronic books.
001454477 7001_ $$aKadyan, Virender,$$d1988-$$eeditor.$$1https://isni.org/isni/0000000496179075
001454477 7001_ $$aSingh, T. P.,$$eeditor.
001454477 7001_ $$aUgwu, Chidiebere,$$eeditor.
001454477 77608 $$iPrint version:$$tDeep learning technologies for the sustainable development goals.$$dSingapore : Springer Nature Singapore, 2023$$z9789811957222$$w(OCoLC)1355077977
001454477 830_0 $$aAdvanced technologies and societal change.
001454477 852__ $$bebk
001454477 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-5723-9$$zOnline Access$$91397441.1
001454477 909CO $$ooai:library.usi.edu:1454477$$pGLOBAL_SET
001454477 980__ $$aBIB
001454477 980__ $$aEBOOK
001454477 982__ $$aEbook
001454477 983__ $$aOnline
001454477 994__ $$a92$$bISE