LEADER 04446nam 22006615 450 001 9910863124203321 005 20240619144908.0 010 $a981-15-5679-2 024 7 $a10.1007/978-981-15-5679-1 035 $a(CKB)4100000011409339 035 $a(MiAaPQ)EBC6321993 035 $a(DE-He213)978-981-15-5679-1 035 $a(PPN)250215691 035 $a(EXLCZ)994100000011409339 100 $a20200829d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Data Engineering and Analytics $eFrontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 /$fedited by Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi 205 $a1st ed. 2021. 210 $cSpringer Singapore$d2021 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (740 pages) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v1177 311 $a981-15-5678-4 327 $aClassification of dry/wet snow using Sentinel-2 high spatial resolution optical data -- Potential of Robust Face Recognition from real-time CCTV video stream for Biometric Attendance using Convolutional Neural Network -- ATM Theft Investigation using Convolutional Neural Network -- "Classification and Prediction of Rice Crop Diseases using CNN & PNN" -- SAGRU : A Stacked Autoencoder based Gated Recurrent Unit Approach to Intrusion Detection -- COMPARISON OF KNN AND SVM ALGORITHMS TO DETECT CLINICAL MASTITIS IN COWS USING INTERNET OF ANIMAL HEALTH THINGS -- Two-way face scrutinizing system for elimination of proxy attendances using deep learning -- Ontology driven Sentiment Analysis in Indian Healthcare Sector -- Segmentation of Nuclei in Microscopy Images across Varied Experimental Systems -- Transitional and parallel approach of PSO and SGO for solving optimization problems. 330 $aThis book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4?5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines. . 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v1177 606 $aComputational intelligence 606 $aElectrical engineering 606 $aData mining 606 $aBig data 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 615 0$aComputational intelligence. 615 0$aElectrical engineering. 615 0$aData mining. 615 0$aBig data. 615 14$aComputational Intelligence. 615 24$aCommunications Engineering, Networks. 615 24$aData Mining and Knowledge Discovery. 615 24$aBig Data. 676 $a006.3 702 $aSatapathy$b Suresh Chandra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Yu-Dong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBhateja$b Vikrant$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMajhi$b Ritanjali$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910863124203321 996 $aIntelligent Data Engineering and Analytics$92852534 997 $aUNINA