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245 1 0 _aProceedings of Third Doctoral Symposium on Computational Intelligence
_h[electronic resource] :
_bDoSCI 2022 /
_cedited by Ashish Khanna, Deepak Gupta, Vineet Kansal, Giancarlo Fortino, Aboul Ella Hassanien.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aXXXIV, 861 p. 430 illus., 328 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v479
500 _aAcceso multiusuario
505 0 _aTransCRF - Hybrid Approach for Adverse Event Extraction -- Process of Recognition of Plant Diseases by Using Hue Histogram, K-Means Clustering and Forward-Propagation Deep Neural Networks -- Analysis of Variants of BERT and Big Bird on Question Answering Datasets in the Context of Scientific Research Article Reviews -- Twitter Opinion Mining on COVID-19 Vaccinations by Machine Learning Presence -- Blockchain-Based Efficient and Secured Framework for Logistics Management -- Blockchain-Based Framework to Handle Security & Privacy for IoT System -- Knowledge Management using Blockchain Technology for Digital Resources -- Blockchain Mechanism for Resolving Privacy Issues in a Smart City -- Design and Analysis of 50 Channel by 40 Gbps DWDM RoF System for 5G Communication Based on Fronthsul Scenario -- A Semantic Approach to Data Integration from Clinical Polystore -- Service Matter Judgement Prediction using Machine Learning -- Predicting Smart Building Occupancy using Machine Learning -- Formal Specification of Dynamic Load Based Coordinator Selection Algorithm with Recovery in Distributed Systems.
520 _aThis book features high-quality research papers presented at Third Doctoral Symposium on Computational Intelligence (DoSCI 2022), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 5, 2022. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high performance computing, biomedical computing, and decision support and decision making.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 0 _aArtificial intelligence
_xData processing.
650 1 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence.
650 2 4 _aData Science.
700 1 _aKhanna, Ashish.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGupta, Deepak.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKansal, Vineet.
_eeditor.
_4edt
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700 1 _aFortino, Giancarlo.
_eeditor.
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700 1 _aHassanien, Aboul Ella.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811931475
776 0 8 _iPrinted edition:
_z9789811931499
830 0 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v479
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-19-3148-2
912 _aZDB-2-INR
912 _aZDB-2-SXIT
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