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Description
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.
Table of Contents
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.
