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000914877 019__ $$a1121266691
000914877 020__ $$a9783319923840$$q(electronic book)
000914877 020__ $$a3319923846$$q(electronic book)
000914877 020__ $$z9783319923833
000914877 0247_ $$a10.1007/978-3-319-92
000914877 035__ $$aSP(OCoLC)on1121137753
000914877 035__ $$aSP(OCoLC)1121137753$$z(OCoLC)1121266691
000914877 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dLQU
000914877 049__ $$aISEA
000914877 050_4 $$aTK7872.D48
000914877 08204 $$a006.2/5$$223
000914877 24500 $$aMission-oriented sensor networks and systems.$$nVolume 2,$$pAdvances :$$bart and science /$$cHabib M. Ammari, editor.
000914877 2463_ $$aAdvances
000914877 260__ $$aCham :$$bSpringer,$$c2019.
000914877 300__ $$a1 online resource (797 pages).
000914877 336__ $$atext$$btxt$$2rdacontent
000914877 337__ $$acomputer$$bc$$2rdamedia
000914877 338__ $$aonline resource$$bcr$$2rdacarrier
000914877 4901_ $$aStudies in Systems, Decision and Control Ser. ;$$vv.164
000914877 5050_ $$aIntroduction -- Autonomous Cooperative Routing for Mission-Critical Applications -- Using Models for Communication in Cyber-Physical Systems -- Urban Micro-Climate Monitoring Using IoT Based Architecture -- Digital Forensics for IoT and WSNs -- An Overview of Wearable Computing -- Wearable Computing and Human Centricity -- Wireless transfer of energy alongside information in wireless sensor networks -- Efficient Protocols for Peer-to-Peer Wireless Power Transfer and Energy Aware Network Formation -- DeepCharge: Next-generation Software-defined Wireless Charging Systems -- Robotic Wireless Sensor Networks -- Robot and Drone Localization in GPS-Denied Areas -- Middleware for Multi-Robot System -- Interference Mitigation Techniques in Wireless Body Area Networks -- Radiation Control Algorithms in Wireless Networks -- Subspace based Encryption.
000914877 506__ $$aAccess limited to authorized users.
000914877 520__ $$aThis book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.
000914877 588__ $$aDescription based on print version record.
000914877 650_0 $$aSensor networks.
000914877 7001_ $$aAmmari, Habib M.
000914877 77608 $$iPrint version:$$aAmmari, Habib M.$$tMission-Oriented Sensor Networks and Systems: Art and Science$$dCham : Springer,c2019$$z9783319923833
000914877 830_0 $$aStudies in systems, decision and control ;$$vv. 164.
000914877 852__ $$bebk
000914877 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-92384-0$$zOnline Access$$91397441.1
000914877 909CO $$ooai:library.usi.edu:914877$$pGLOBAL_SET
000914877 980__ $$aEBOOK
000914877 980__ $$aBIB
000914877 982__ $$aEbook
000914877 983__ $$aOnline
000914877 994__ $$a92$$bISE