LEADER 05488nam 22006975 450 001 9910522919403321 005 20251113192356.0 010 $a3-030-85365-9 024 7 $a10.1007/978-3-030-85365-5 035 $a(MiAaPQ)EBC6840075 035 $a(Au-PeEL)EBL6840075 035 $a(CKB)20443703600041 035 $a(PPN)267814895 035 $a(OCoLC)1290841140 035 $a(DE-He213)978-3-030-85365-5 035 $a(EXLCZ)9920443703600041 100 $a20220103d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Deep Learning, Artificial Intelligence and Robotics $eProceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020 /$fedited by Luigi Troiano, Alfredo Vaccaro, Roberto Tagliaferri, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui, Domenico Parente 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (235 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v249 311 08$aPrint version: Troiano, Luigi Advances in Deep Learning, Artificial Intelligence and Robotics Cham : Springer International Publishing AG,c2022 9783030853648 327 $aDeep Learning Based Classification System For Recognizing Local Spinach -- Fusion of Deep Learning Features for Wild Animal Detection -- Forecast Extreme CPU Usages under Peak Load using envelop EM Semi-Supervised Learning -- Classifying Case Facts and Predicting Legal Decisions of The Indian Central Information Commission: A Natural Language Processing approach -- On the implementation of a semantic model for intelligent vehicle navigation -- Twenty Years Of Assessment Of Drought Conditions Over The Gangapur Region Of Aurangabad District In Maharashtra (India)Using Remote Sensing Indices -- Educational Resources Recommender System for Teachers: Why and How? -- Hybrid Cloud Native Framework for Smart City Applications -- A Two-Stage Intrusion Detection System (TIDS) for Internet of Things -- Breast Cancer Detection Using Deep Convolutionnal Neural Networks And Raspberry Pi 3 Board -- An Improved Approach for Removal of Salt & Pepper Noise in MR Images -- Dual-Pathway Deep CNN for OfflineWriter Identification -- Real-time Urban Traffic Control of a complex junction -- A Multi-Agent System for Industrial Simulators Design -- Comparison of Current Convolutional Neural Network Architectures for Classification of Damaged and Undamaged Cars -- Intelligent agents for Multi-user Preference Elicitation -- Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks -- Robust Model for Rural Education using Deep Learning and Robotics -- Action Recognition for Anomaly Detection using Transfer Learning and Deep Architectures -- Personalised federated learning with BERT fine tuning. Case study on Twitter sentiment analysis -- Use of Artificial Intelligence in Human Resource Management: ?Application of Machine Learning Algorithms to an intelligent Recruitment system? -- Combining Active Semi-supervised Learning and Rare Category Detection. 330 $aThis book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. The research and reports of new technologies and applications in DL, AI and robotics like biometric recognition systems, medical diagnosis, industries, telecommunications, AI petri nets model-based diagnosis, gaming, stock trading, intelligent aerospace systems, robot control and web intelligence aim to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next-generation computational models for machine intelligence. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v249 606 $aComputational intelligence 606 $aMachine learning 606 $aArtificial intelligence 606 $aEngineering$xData processing 606 $aRobotics 606 $aComputational Intelligence 606 $aMachine Learning 606 $aArtificial Intelligence 606 $aData Engineering 606 $aRobotic Engineering 615 0$aComputational intelligence. 615 0$aMachine learning. 615 0$aArtificial intelligence. 615 0$aEngineering$xData processing. 615 0$aRobotics. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 615 24$aArtificial Intelligence. 615 24$aData Engineering. 615 24$aRobotic Engineering. 676 $a006.3 676 $a006.31 702 $aTroiano$b Luigi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910522919403321 996 $aAdvances in deep learning, artificial intelligence and robotics$92911931 997 $aUNINA