<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>06148nam a22006735i 4500</leader>
  <controlfield tag="001">978-3-031-48876-4</controlfield>
  <controlfield tag="003">DE-He213</controlfield>
  <controlfield tag="005">20251030110843.0</controlfield>
  <controlfield tag="007">cr nn 008mamaa</controlfield>
  <controlfield tag="008">231129s2024    sz |    s    |||| 0|eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9783031488764</subfield>
    <subfield code="9">978-3-031-48876-4</subfield>
  </datafield>
  <datafield tag="024" ind1="7" ind2=" ">
    <subfield code="a">10.1007/978-3-031-48876-4</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="050" ind1=" " ind2="4">
    <subfield code="a">QA76.9.D35</subfield>
  </datafield>
  <datafield tag="050" ind1=" " ind2="4">
    <subfield code="a">Q350-390</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">UMB</subfield>
    <subfield code="2">bicssc</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">GPF</subfield>
    <subfield code="2">bicssc</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">COM021000</subfield>
    <subfield code="2">bisacsh</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">UMB</subfield>
    <subfield code="2">thema</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">GPF</subfield>
    <subfield code="2">thema</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">Computational Intelligence in Communications and Business Analytics</subfield>
    <subfield code="h">[electronic resource] :</subfield>
    <subfield code="b">5th International Conference, CICBA 2023, Kalyani, India, January 27&#x2013;28, 2023, Revised Selected Papers, Part I /</subfield>
    <subfield code="c">edited by Kousik Dasgupta, Somnath Mukhopadhyay, Jyotsna K. Mandal, Paramartha Dutta.</subfield>
  </datafield>
  <datafield tag="250" ind1=" " ind2=" ">
    <subfield code="a">1st ed. 2024.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
    <subfield code="a">Cham :</subfield>
    <subfield code="b">Springer Nature Switzerland :</subfield>
    <subfield code="b">Imprint: Springer,</subfield>
    <subfield code="c">2024.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">XIX, 351 p. 177 illus., 140 illus. in color.</subfield>
    <subfield code="b">online resource.</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
    <subfield code="a">text</subfield>
    <subfield code="b">txt</subfield>
    <subfield code="2">rdacontent</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
    <subfield code="a">computer</subfield>
    <subfield code="b">c</subfield>
    <subfield code="2">rdamedia</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
    <subfield code="a">online resource</subfield>
    <subfield code="b">cr</subfield>
    <subfield code="2">rdacarrier</subfield>
  </datafield>
  <datafield tag="347" ind1=" " ind2=" ">
    <subfield code="a">text file</subfield>
    <subfield code="b">PDF</subfield>
    <subfield code="2">rda</subfield>
  </datafield>
  <datafield tag="490" ind1="1" ind2=" ">
    <subfield code="a">Communications in Computer and Information Science,</subfield>
    <subfield code="x">1865-0937 ;</subfield>
    <subfield code="v">1955</subfield>
  </datafield>
  <datafield tag="505" ind1="0" ind2=" ">
    <subfield code="a">Track: Computational Intelligence -- A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer&#x2019;s Disease -- Assessment of Slope Instability in a Hilly Terrain: A Logistic regression and Random Forest Based Approach -- A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression -- Classification of Text and Non-text Components present in offline Unconstrained handwritten documents using Convolutional Neural Network -- Motion Detection using Three Frame Differencing and CNN -- Advance detection of Diabetic Retinopathy: Deep Learning Approach -- Load Flow Solution For Radial Distribution Networks Using Chaotic Opposition based WhaleOptimization Algorithm -- Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network -- Economic load dispatch problem using African vulture optimization algorithm (AVOA) in thermal power plant with wind energy -- Grey Wolf Optimization Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic Modules in Wireless Battery Charging Application -- Regression Analysis For Finding Correlation On Indian Agricultural Data -- Classification of the Chest X-ray Images of COVID-19 Patients through the Mean Structural Similarity Index -- A Religious Sentiment Detector based on Machine Learning to provide meaningful analysis of Religious Texts -- Automated Detection of melanoma skin disease using classification algorithm -- Identification of Cloud types for Meteorological Satellite images: A character-based CNN-LSTM hybrid caption model -- Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI -- ANN for diabetic prediction by using chaotic based sine cosine algorithm -- A Deep CNN Framework for Oral Cancer Detection using Histopathology Dataset -- AntiNuclear Antibody Pattern Classification using CNN with Small Dataset -- Classification of Offensive Tweet in MarathiLanguage using Machine Learning Models -- An integrative method for COVID-19 patients&#x2019; classification from chest X-ray using deep learning network with feature extraction from image visibility graph -- Identification And Multi-Classification of Several Potato Plant Leave Diseases Using Deep Learning -- A GUI-based approach to predict heart disease using machine learning algorithms and flask API -- Classification of cricket shots from cricket videos using Self-Attention Infused CNN-RNN (SAICNNRNN) -- Attention-Residual Convolutional Neural Network for Image Restoration Due to Bad Weather -- Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System.</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27&#x2013;28, 2023. The 52 full papers presented in this volume were carefully reviewed and selected from 187 submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Data structures (Computer science).</subfield>
    <subfield code="9">66708</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Information theory.</subfield>
    <subfield code="9">57783</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Computer engineering.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Computer networks&#xA0;.</subfield>
    <subfield code="9">60157</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Artificial intelligence.</subfield>
    <subfield code="9">58441</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Social sciences</subfield>
    <subfield code="x">Data processing.</subfield>
    <subfield code="9">65741</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="4">
    <subfield code="a">Data Structures and Information Theory.</subfield>
    <subfield code="9">66709</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer Engineering and Networks.</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer Communication Networks.</subfield>
    <subfield code="9">65689</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Artificial Intelligence.</subfield>
    <subfield code="9">58441</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer Application in Social and Behavioral Sciences.</subfield>
    <subfield code="9">65743</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Dasgupta, Kousik.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">67721</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Mukhopadhyay, Somnath.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">67722</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Mandal, Jyotsna K.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">67723</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Dutta, Paramartha.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">67724</subfield>
  </datafield>
  <datafield tag="710" ind1="2" ind2=" ">
    <subfield code="a">SpringerLink (Online service)</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
    <subfield code="t">Springer Nature eBook</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
    <subfield code="i">Printed edition:</subfield>
    <subfield code="z">9783031488757</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
    <subfield code="i">Printed edition:</subfield>
    <subfield code="z">9783031488771</subfield>
  </datafield>
  <datafield tag="830" ind1=" " ind2="0">
    <subfield code="a">Communications in Computer and Information Science,</subfield>
    <subfield code="x">1865-0937 ;</subfield>
    <subfield code="v">1955</subfield>
    <subfield code="9">66508</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
    <subfield code="u">https://doi.org/10.1007/978-3-031-48876-4</subfield>
  </datafield>
  <datafield tag="912" ind1=" " ind2=" ">
    <subfield code="a">ZDB-2-SCS</subfield>
  </datafield>
  <datafield tag="912" ind1=" " ind2=" ">
    <subfield code="a">ZDB-2-SXCS</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">56682</subfield>
    <subfield code="d">56682</subfield>
  </datafield>
</record>
