LEADER 06191nam 2201561z- 450 001 9910557360703321 005 20231214133005.0 035 $a(CKB)5400000000042285 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76767 035 $a(EXLCZ)995400000000042285 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (454 p.) 311 $a3-0365-1268-3 311 $a3-0365-1269-1 330 $aRecent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue ?Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments? present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Wo?niak, Silesian University of Technology, Poland ? 606 $aInformation technology industries$2bicssc 610 $aTraffic sign detection and tracking (TSDR) 610 $aadvanced driver assistance system (ADAS) 610 $acomputer vision 610 $a3D convolutional neural networks 610 $amachine learning 610 $aCT brain 610 $abrain hemorrhage 610 $avisual inspection 610 $aone-class classifier 610 $agrow-when-required neural network 610 $aevolving connectionist systems 610 $aautomatic design 610 $abio-inspired techniques 610 $aartificial bee colony 610 $aimage analysis 610 $afeature extraction 610 $aship classification 610 $amarine systems 610 $acitrus 610 $apests and diseases identification 610 $aconvolutional neural network 610 $aparameter efficiency 610 $avehicle detection 610 $aYOLOv2 610 $afocal loss 610 $aanchor box 610 $amulti-scale 610 $adeep learning 610 $aneural network 610 $agenerative adversarial network 610 $asynthetic images 610 $atool wear monitoring 610 $asuperalloy tool 610 $aimage recognition 610 $aobject detection 610 $aUAV imagery 610 $avehicular traffic flow detection 610 $avehicular traffic flow classification 610 $avehicular traffic congestion 610 $avideo classification 610 $abenchmark 610 $asemantic segmentation 610 $aatrous convolution 610 $aspatial pooling 610 $aship radiated noise 610 $aunderwater acoustics 610 $asurface electromyography (sEMG) 610 $aconvolution neural networks (CNNs) 610 $ahand gesture recognition 610 $afabric defect 610 $amixed kernels 610 $across-scale 610 $acascaded center-ness 610 $adeformable localization 610 $acontinuous casting 610 $asurface defects 610 $a3D imaging 610 $adefect detection 610 $aobject detector 610 $aobject tracking 610 $aactivity measure 610 $aYolo 610 $adeep sort 610 $aHungarian algorithm 610 $aoptical flows 610 $aspatiotemporal interest points 610 $asports scene 610 $aCT images 610 $aconvolutional neural networks 610 $ahepatic cancer 610 $avisual question answering 610 $athree-dimensional (3D) vision 610 $areinforcement learning 610 $ahuman-robot interaction 610 $afew shot learning 610 $aSVM 610 $aCNN 610 $acascade classifier 610 $avideo surveillance 610 $aRFI 610 $aartefacts 610 $aInSAR 610 $aimage processing 610 $apixel convolution 610 $athresholding 610 $anearest neighbor filtering 610 $adata acquisition 610 $aaugmented reality 610 $apose estimation 610 $aindustrial environments 610 $ainformation retriever sensor 610 $amulti-hop reasoning 610 $aevidence chains 610 $acomplex search request 610 $ahigh-speed trains 610 $ahunting 610 $anon-stationary 610 $afeature fusion 610 $amulti-sensor fusion 610 $aunmanned aerial vehicles 610 $adrone detection 610 $aUAV detection 610 $avisual detection 615 7$aInformation technology industries 700 $aWoz?niak$b Marcin$4edt$01303762 702 $aWoz?niak$b Marcin$4oth 906 $aBOOK 912 $a9910557360703321 996 $aAdvanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments$93027189 997 $aUNINA