LEADER 03977aam 22006974 450 001 9910483362503321 005 20230322194818.0 010 $a981-15-1816-5 024 7 $a10.1007/978-981-15-1816-4 035 $a(CKB)4100000010480348 035 $a(MiAaPQ)EBC6126768 035 $a(DE-He213)978-981-15-1816-4 035 $a(PPN)243229887 035 $a(EXLCZ)994100000010480348 100 $a20200228h20202020 uy 0 101 0 $aeng 135 $aurcn#---uuuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDeep Learning Applications /$fM. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh, editors 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d[2020]. 210 4$dİ2020 215 $a1 online resource (178 pages) $cillustrations 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v1098 311 0 $a9811518157 320 $aIncludes bibliographical references and index. 327 $aTrends in Deep Learning Applications -- Optimization Strategies -- Quasi-Newton Optimization Methods -- Application to Deep Reinforcement Learning -- Medical Image Segmentation using Deep Neural Networks with Pre-trained Encoders -- Enabling Robust and Autonomous Material handling in Logistics through applied Deep Learning Algorithms -- Performance metric -- Dataset creation -- Detecting Work Zones in SHRP2 NDS Videos Using Deep Learning Based Computer Vision -- Deep Learning Framework and Architecture Selection -- Action Recognition in Videos Using Multi-Stream Convolutional Neural Networks -- Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimers disease. 330 $aThis book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018), focusing on use of deep learning technology in application like game playing, medical applications, video analytics, regression/classification, object detection/recognition and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v1098 606 $aComputational intelligence 606 $aMachine learning 606 $aBig data 606 $aControl engineering 606 $aRobotics 606 $aMechatronics 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aControl, Robotics, Mechatronics$3https://scigraph.springernature.com/ontologies/product-market-codes/T19000 615 0$aComputational intelligence. 615 0$aMachine learning. 615 0$aBig data. 615 0$aControl engineering. 615 0$aRobotics. 615 0$aMechatronics. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 615 24$aBig Data. 615 24$aControl, Robotics, Mechatronics. 676 $a006.31 702 $aWani$b M. Arif$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKantardzic$b Mehmed$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSayed-Mouchaweh$b Moamar$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483362503321 996 $aDeep Learning Applications$92823910 997 $aUNINA