04540nam a22005535i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050000900172072001600181072002300197072001500220245019800235250001800433264007200451300006700523336002600590337002600616338003600642347002400678490007500702505151000777520071702287650003903004650002303043650004603066650003103112650003903143650004203182650001803224650003103242700009703273700009303370700008603463700009503549710003403644773002603678776003603704776003603740776003603776830008203812856004603894912001403940912001503954999001703969978-981-99-5435-3DE-He21320251030110908.0cr nn 008mamaa240102s2024    si |    s    |||| 0|eng d  a97898199543539978-981-99-5435-37 a10.1007/978-981-99-5435-32doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aData Science and Communicationh[electronic resource] :bProceedings of ICTDsC 2023 /cedited by João Manuel R. S. Tavares, Joel J. P. C. Rodrigues, Debajyoti Misra, Debasmriti Bhattacherjee.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXIV, 829 p. 480 illus., 330 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStudies in Autonomic, Data-driven and Industrial Computing,x2730-64450 aCompensation Effect in the Collisional Turbulent Plasma -- Role of pre-processing in gene selection using DNA microarray gene expression data -- Determination of Suitable Frequency for Underground Electromagnetic wave propagation -- A Comparative Study on Speech Emotion Recognition using Machine Learning -- Early Prediction of Urban Flood Using ML and IoT -- Development of Low power and Area Efficient Multi-Core Memory Controller Using AXI4-Lite Interface Protocol -- Improved Analog Costas Loop with Fuzzy Logic Controller -- Authentication Framework for an IoT Ecosystem -- Design and Analysis of 28 GHz Microstrip Patch Antenna for 5G Network -- Upper bounds of worldwide infected cases due to COVID-19 from the perspective of bitopology -- Prediction Model for Precision Agriculture using Machine Learning -- Analysis and Implementation of Resonative Tuning Fork Sensor in Ash Hopper for Economical Ash Air Compressor Operation with Integrated IoT System -- Challenges and Approaches in Arabic Sentiment Analysis: A Review -- Performance Based Comparative Analysis Of Naive Bayes Variations For Text Classification -- Coreference Resolution in the Assamese Language: A Pioneering Attempt -- Application for Simulating OWASP Vulnerabilities -- A Comparative Study of Disease Detection in Potato Plants Using Machine Learning and Deep Learning Method -- An Enhancement in Accuracy for Breast Cancer Prediction Using Machine Learning And Deep Learning Model -- Fractal Features For Texture Analysıs.  aThe book presents selected papers from the International Conference on Data Science and Communication (ICTDsC 2023) organized by the Department of Electronics and Communication Engineering and Department of Engineering Science and Humanities (DESH) Siliguri Institute of Technology, India during 23 – 24 March 2023 in Siliguri, India. The book covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cyber security and forensic, network and mobile security, advanced computing, cloud computing, quantum computing, electronics system, Internet of Things, robotics and automations, blockchain and software technology, and digital technologies for future. 0aComputational intelligence.964052 0aTelecommunication. 0aArtificial intelligencexData processing. 0aInternet of things.95884514aComputational Intelligence.96405224aCommunications Engineering, Networks.24aData Science.24aInternet of Things.9588451 aTavares, João Manuel R. S.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9689111 aRodrigues, Joel J. P. C.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9689121 aMisra, Debajyoti.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9689131 aBhattacherjee, Debasmriti.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9689142 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981995434608iPrinted edition:z978981995436008iPrinted edition:z9789819954377 0aStudies in Autonomic, Data-driven and Industrial Computing,x2730-644596891540uhttps://doi.org/10.1007/978-981-99-5435-3  aZDB-2-INR  aZDB-2-SXIT  c57007d57007