Applications of Computational Intelligence (eBook, PDF)

6th IEEE Colombian Conference, ColCACI 2023, Bogota, Colombia, July 26-28, 2023, Revised Selected Papers
Redaktion: Orjuela-Cañón, Alvaro David; Arias-Londoño, Julián David; Lopez, Jesus A

• Format: PDF

Produktbeschreibung

¿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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 174
• Erscheinungstermin: 17. November 2023
• Englisch
• ISBN-13: 9783031484155
• Artikelnr.: 69481108

Inhaltsangabe

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.