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    <title>Applications of Computational Intelligence</title>
    <subTitle>6th IEEE Colombian Conference, ColCACI 2023, Bogota, Colombia, July 26-28, 2023, Revised Selected Papers</subTitle>
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    <namePart>Orjuela-Cañón, Alvaro David.</namePart>
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    <namePart>Lopez, Jesus A.</namePart>
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    <namePart>Arias-Londoño, Julián David.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>X, 174 p. 70 illus., 62 illus. in color. online resource.</extent>
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  <abstract>This book constitutes the refereed proceedings of the 6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023, held in Bogota, Colombia during July 2023. A total of 11 full papers were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Biomedical Applications, Biological Applications, Engineering Applications. .</abstract>
  <tableOfContents>Biomedical Applications -- A Transfer Learning Scheme for COVID-19 Diagnosis from Chest X-Ray Images using Gradient-weighted Class Activation Mapping -- On the Comparison of Multilayer Perceptron and Extreme Learning Machine for Pedaling Recognition using EEG -- Self-supervised deep-learning segmentation of corneal endothelium specular microscopy images -- Tuberculosis Drug Discovery Estimation Process by Using Machine and Deep Learning Models -- Biological Applications -- A Robust Hybrid Control Approach tuned by PSO for Long-Time Delay Nonlinear Chemical Processes -- Feature selection of the spectral signature of cocoa bean based on visible and near-infrared spectroscopy for cadmium estimation -- On the use of Deep Learning Models for Automatic Animal Classification of Native Species in the Amazon -- Engineering Applications -- Intra-day Electricity Price Forecasting Based on a Time2Vec-LSTM Model -- Radio Frequency Pattern Matching – Subscriber Location in 5G Networks -- Robotic Arm based on Artificial Intelligence for Learning Braille as an Inclusive Tool in Educational Environments -- Spatial shrinkage prior: A probabilistic approach to model for categorical variables with many levels. .</tableOfContents>
  <note type="statement of responsibility">edited by Alvaro David Orjuela-Cañón, Jesus A Lopez, Julián David Arias-Londoño.</note>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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    <topic>Computer science</topic>
    <topic>Mathematics</topic>
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  <subject authority="lcsh">
    <topic>Computers, Special purpose</topic>
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  <subject authority="lcsh">
    <topic>Algorithms</topic>
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  <subject authority="lcsh">
    <topic>Education</topic>
    <topic>Data processing</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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  <subject>
    <topic>Mathematics of Computing</topic>
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  <subject>
    <topic>Special Purpose and Application-Based Systems</topic>
  </subject>
  <subject>
    <topic>Design and Analysis of Algorithms</topic>
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  <subject>
    <topic>Computers and Education</topic>
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  <identifier type="isbn">9783031484155</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-48415-5</identifier>
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