LEADER 03636nam 22008175 450 001 9910983043103321 005 20250630101749.0 010 $a981-9786-20-7 024 7 $a10.1007/978-981-97-8620-6 035 $a(MiAaPQ)EBC31733691 035 $a(Au-PeEL)EBL31733691 035 $a(CKB)36379018200041 035 $a(DE-He213)978-981-97-8620-6 035 $a(OCoLC)1470860732 035 $a(EXLCZ)9936379018200041 100 $a20241020d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPattern Recognition and Computer Vision $e7th Chinese Conference, PRCV 2024, Urumqi, China, October 18?20, 2024, Proceedings, Part V /$fedited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (641 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15035 311 08$a981-9786-19-3 330 $aThis 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18?20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15035 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aApplication software 606 $aComputer networks 606 $aComputer systems 606 $aMachine learning 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aComputer Communication Networks 606 $aComputer System Implementation 606 $aMachine Learning 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aComputer networks. 615 0$aComputer systems. 615 0$aMachine learning. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aMachine Learning. 676 $a006 700 $aLin$b Zhouchen$0908694 701 $aCheng$b Ming-Ming$01782756 701 $aHe$b Ran$0929219 701 $aUbul$b Kurban$01782757 701 $aSilamu$b Wushouer$01782758 701 $aZha$b Hongbin$01586081 701 $aZhou$b Jie$0671967 701 $aLiu$b Cheng-Lin$0861045 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983043103321 996 $aPattern Recognition and Computer Vision$94309254 997 $aUNINA LEADER 01547oam 2200493Ia 450 001 9910697075603321 005 20260430111736.0 035 $a(CKB)5470000002384144 035 $a(OCoLC)227893613 035 $a(DGPO)000672994 035 $a(EXLCZ)995470000002384144 100 $a20080513d2006 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHuman-robot interface $eissues in operator performance, interface design, and technologies /$fJessie Y.C. Chen ... [and others] 210 1$aAberdeen Proving Ground, Md. :$cArmy Research Laboratory,$d[2006] 215 $a1 online resource (vi, 92 pages) $cillustrations (some color) 225 1 $aARL-TR ;$v3834 300 $aTitle from title screen (viewed July 11, 2011). 300 $a"July 2006." 320 $aIncludes bibliographical references (pages 59-72). 410 0$aARL-TR (Aberdeen Proving Ground, Md.) ;$v3834. 517 $aHuman-robot interface 606 $aRobots 606 $aRobotics 606 $aCybernetics 606 $aHuman-machine systems 615 0$aRobots. 615 0$aRobotics. 615 0$aCybernetics. 615 0$aHuman-machine systems. 701 $aChen$b Jessie Y. C$01373578 712 02$aU.S. Army Research Laboratory. 801 0$bDTICE 801 1$bDTICE 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910697075603321 996 $aHuman-robot interface$93530515 997 $aUNINA LEADER 03902nam 22006255 450 001 9910878059903321 005 20250626163856.0 010 $a3-031-65392-0 024 7 $a10.1007/978-3-031-65392-6 035 $a(MiAaPQ)EBC31572120 035 $a(Au-PeEL)EBL31572120 035 $a(CKB)33566467300041 035 $a(DE-He213)978-3-031-65392-6 035 $a(OCoLC)1450837075 035 $a(EXLCZ)9933566467300041 100 $a20240730d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Intelligence, Tools, and Applications $eProceedings of the International Conference on Machine Intelligence, Tools, and Applications?ICMITA 2024 /$fedited by Satchidananda Dehuri, Sung-Bae Cho, Venkat Prasad Padhy, Poonkuntrun Shanmugam, Ashish Ghosh 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (435 pages) 225 1 $aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v40 311 08$a3-031-65391-2 327 $aFuzzy Guided Genetic Algorithm Routing for Energy Conservation in Wireless Sensor Networks -- Comparative Analysis of Prediction Models for Software Bug Prediction -- Mandelbug Classification Engine Transfer Learning and NLP Approach -- Software Maintenance Prediction Using Regression Models -- Rough Set ELM Classifier and Deep Architecture for Remote Sensing Images -- Design of an Efficient Model for Satellite Image Classification Using Graph Neural Networks and Elephant Herding Optimization -- Multifaceted Analysis of Climate Trends and Air Quality in Indian Metropolises A Machine Learning and Time Series Forecasting Approach -- Machine Learning based Analysis and Forecasting of Electricity Demand in Misamis Occidental Philippines -- Implementation and Optimization of Swarm based System for Multi Agent Coordination and Task Execution in Marine Environment -- Implementing Deep NN for Plant Disease Detection and Diagnosis -- A PSO approach for two warehouse inventory problem with imperfect quality and variable discount -- Design of Intraday Stock Price Prediction Model using Machine Learning via Technical Indicators. 330 $aThis book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML). This would enable the readers with a strong understanding of critical issues in ML by providing both broad and detailed perspectives on cutting-edge theories, algorithms, and tools. This will become a single source of reference on conceptual, methodological, technical, and managerial issues, as well as provide insight into emerging trends and future opportunities in the discipline of ML. This book contains altogether 36 chapters in the area of ML and its applications. 410 0$aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v40 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMachine learning 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aMachine Learning 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 676 $a006.3 700 $aDehuri$b Satchidananda$01615124 701 $aCho$b Sung-Bae$01615126 701 $aPadhy$b Venkat Prasad$01758537 701 $aShanmugam$b Poonkuntrun$01758538 701 $aGhosh$b Ashish$01346642 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910878059903321 996 $aMachine Intelligence, Tools, and Applications$94196773 997 $aUNINA