001447819 000__ 04660cam\a2200601Ii\4500
001447819 001__ 1447819
001447819 003__ OCoLC
001447819 005__ 20230310004137.0
001447819 006__ m\\\\\o\\d\\\\\\\\
001447819 007__ cr\cn\nnnunnun
001447819 008__ 220629s2022\\\\si\a\\\\o\\\\\100\0\eng\d
001447819 019__ $$a1333265834
001447819 020__ $$a9789811908408$$q(electronic bk.)
001447819 020__ $$a9811908400$$q(electronic bk.)
001447819 020__ $$z9789811908392
001447819 020__ $$z9811908397
001447819 0247_ $$a10.1007/978-981-19-0840-8$$2doi
001447819 035__ $$aSP(OCoLC)1333704668
001447819 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ
001447819 049__ $$aISEA
001447819 050_4 $$aQ325.5
001447819 08204 $$a006.3/1$$223/eng/20220629
001447819 24500 $$aAdvanced machine intelligence and signal processing /$$cDeepak Gupta, Koj Sambyo, Mukesh Prasad, Sonali Agarwal, editors.
001447819 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001447819 264_4 $$c©2022
001447819 300__ $$a1 online resource (xiv, 876 pages) :$$billustrations (chiefly color).
001447819 336__ $$atext$$btxt$$2rdacontent
001447819 337__ $$acomputer$$bc$$2rdamedia
001447819 338__ $$aonline resource$$bcr$$2rdacarrier
001447819 4901_ $$aLecture notes in electrical engineering,$$x1876-1119 ;$$vvolume 858
001447819 500__ $$aSelected papers from the 3rd International Conference on Machine Intelligence and Signal Processing (MISP-2021), held September 23-25 2021, National Institute of Technology Arunachal Pradesh, Jote, India.
001447819 5050_ $$aLeukocyte Subtyping using Convolutional Neural Networks for Enhanced Disease Prediction -- Comparative analysis of novel approaches to automated COVID-19 detection using radiography images -- OXGBoost: An Optimized eXtreme Gradient Boosting Algorithm for Classification of Breast Cancer -- An Empirical Study on Graph-based Clustering Algorithms using Schizophrenia Genes -- Traffic Rule Violation Detection System: Deep Learning Approach -- A Web Application for Early Prediction of Diabetes Using Artificial Neural Network -- Web based disease prediction system via machine learning approach.
001447819 506__ $$aAccess limited to authorized users.
001447819 520__ $$aThis book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).
001447819 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 29, 2022).
001447819 650_0 $$aMachine learning$$vCongresses.
001447819 650_0 $$aSignal processing$$vCongresses.
001447819 655_0 $$aElectronic books.
001447819 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001447819 655_7 $$aConference papers and proceedings.$$2lcgft
001447819 7001_ $$aGupta, Deepak,$$eeditor.
001447819 7001_ $$aSambyo, Koj,$$eeditor.
001447819 7001_ $$aPrasad, Mukesh,$$eeditor.
001447819 7001_ $$aAgarwal, Sonali,$$eeditor.
001447819 7112_ $$aInternational Conference on Machine Intelligence and Signal Processing$$n(3rd :$$d2021 :$$cJote, India)/
001447819 77608 $$iPrint version: $$z9811908397$$z9789811908392$$w(OCoLC)1295352175
001447819 830_0 $$aLecture notes in electrical engineering ;$$vv. 858.$$x1876-1119
001447819 852__ $$bebk
001447819 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-0840-8$$zOnline Access$$91397441.1
001447819 909CO $$ooai:library.usi.edu:1447819$$pGLOBAL_SET
001447819 980__ $$aBIB
001447819 980__ $$aEBOOK
001447819 982__ $$aEbook
001447819 983__ $$aOnline
001447819 994__ $$a92$$bISE