04432nam 22006495 450 991048393730332120200829093630.0981-15-5679-210.1007/978-981-15-5679-1(CKB)4100000011409339(MiAaPQ)EBC6321993(DE-He213)978-981-15-5679-1(PPN)250215691(EXLCZ)99410000001140933920200829d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntelligent Data Engineering and Analytics[electronic resource] Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 /edited by Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi1st ed. 2021.Singapore :Springer Singapore :Imprint: Springer,2021.1 online resource (740 pages)Advances in Intelligent Systems and Computing,2194-5357 ;1177981-15-5678-4 Classification 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.This 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. .Advances in Intelligent Systems and Computing,2194-5357 ;1177Computational intelligenceElectrical engineeringData miningBig dataComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Communications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Computational intelligence.Electrical engineering.Data mining.Big data.Computational Intelligence.Communications Engineering, Networks.Data Mining and Knowledge Discovery.Big Data.006.3Satapathy Suresh Chandraedthttp://id.loc.gov/vocabulary/relators/edtZhang Yu-Dongedthttp://id.loc.gov/vocabulary/relators/edtBhateja Vikrantedthttp://id.loc.gov/vocabulary/relators/edtMajhi Ritanjaliedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483937303321Intelligent Data Engineering and Analytics2852534UNINA