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001453247 001__ 1453247
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001453247 019__ $$a1351195930
001453247 020__ $$a9783031182921$$q(electronic bk.)
001453247 020__ $$a3031182928$$q(electronic bk.)
001453247 020__ $$z9783031182914
001453247 020__ $$z303118291X
001453247 0247_ $$a10.1007/978-3-031-18292-1$$2doi
001453247 035__ $$aSP(OCoLC)1350708602
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001453247 049__ $$aISEA
001453247 050_4 $$aQ335
001453247 08204 $$a006.3$$223/eng/20221130
001453247 24500 $$aExplainable edge AI :$$ba futuristic computing perspective /$$cAboul Ella Hassanien, Deepak Gupta, Anuj Kumar Singh, Ankit Garg, editors.
001453247 264_1 $$aCham :$$bSpringer,$$c[2023]
001453247 264_4 $$c©2023
001453247 300__ $$a1 online resource (x, 181 pages) :$$billustrations (chiefly color).
001453247 336__ $$atext$$btxt$$2rdacontent
001453247 337__ $$acomputer$$bc$$2rdamedia
001453247 338__ $$aonline resource$$bcr$$2rdacarrier
001453247 4901_ $$aStudies in computational intelligence,$$x1860-9503 ;$$vvolume 1072
001453247 5050_ $$aExplainable Artificial Intelligence: Concepts and Current Progression -- Explainable Artificial Intelligence (XAI): Understanding and Future Perspectives -- Explainable Artificial Intelligence (XAI): Conception, Visualization and Assessment approaches towards amenable XAI -- Explainable AI (XAI): A Survey of Current and Future Opportunities -- Recent Challenges on Edge AI with its application: A Brief Introduction -- Explainable Artificial Intelligence in Health Care: How XAI Improves User Trust in High-Risk Decisions -- Role of Explainable Edge AI to Resolve Real Time Problem -- Explainable Data Fusion on Edge: Challenges and Opportunities -- Trust Model Based Data Fusion in Explainable Artificial Intelligence for Edge Computing Using Secure Sequential Discriminant Auto Encoder with Lightweight Optimization Algorithm -- A Deep Learning Based Target Coverage Protocol for Edge Computing Enabled Wireless Sensor Networks.
001453247 506__ $$aAccess limited to authorized users.
001453247 520__ $$aThis book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.
001453247 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 30, 2022).
001453247 650_0 $$aArtificial intelligence.
001453247 650_0 $$aEdge computing.
001453247 655_0 $$aElectronic books.
001453247 7001_ $$aHassanien, Aboul Ella,$$eeditor.
001453247 7001_ $$aGupta, Deepak,$$cPh.D.,$$eeditor.
001453247 7001_ $$aSingh, Anuj Kumar,$$eeditor.
001453247 7001_ $$aGarg, Ankit,$$eeditor.
001453247 77608 $$iPrint version: $$z303118291X$$z9783031182914$$w(OCoLC)1343718775
001453247 830_0 $$aStudies in computational intelligence ;$$vv. 1072.$$x1860-9503
001453247 852__ $$bebk
001453247 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-18292-1$$zOnline Access$$91397441.1
001453247 909CO $$ooai:library.usi.edu:1453247$$pGLOBAL_SET
001453247 980__ $$aBIB
001453247 980__ $$aEBOOK
001453247 982__ $$aEbook
001453247 983__ $$aOnline
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