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200 00$aComputer Vision and Machine Learning for Intelligent Sensing Systems /$fedited by Jing Tian
210  1$a[Place of publication not identified] :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023.
215   $a1 online resource (244 pages)
311   $a3-0365-7869-2 
330   $aThe reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality.
606   $aMachine learning
606   $aComputer science
606   $aArtificial intelligence
615  0$aMachine learning.
615  0$aComputer science.
615  0$aArtificial intelligence.
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702   $aTian$b Jing
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996   $aComputer Vision and Machine Learning for Intelligent Sensing Systems$93400934
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