Applications of Computational Intelligence 6th IEEE Colombian Conference, ColCACI 2023, Bogota, Colombia, July 26-28, 2023, Revised Selected Papers /

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 topic...

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Bibliografische gegevens
Coauteur: SpringerLink (Online service)
Andere auteurs: Orjuela-Cañón, Alvaro David (Redacteur), Lopez, Jesus A. (Redacteur), Arias-Londoño, Julián David (Redacteur)
Formaat: Elektronisch E-boek
Taal:Engels
Gepubliceerd in: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Editie:1st ed. 2024.
Reeks:Communications in Computer and Information Science, 1865
Onderwerpen:
Online toegang:https://doi.org/10.1007/978-3-031-48415-5
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Inhoudsopgave:
  • 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. .