Results 21 to 30 of about 588,290 (268)

Short-Time/-Angle Spectral Analysis for Vibration Monitoring of Bearing Failures under Variable Speed

Applied Sciences, 2021
Vibration-condition monitoring aims to detect bearing damages of rotating machinery’s incipient failures mainly through time–frequency methods because of their efficient analysis of nonstationary signals. However, by having failures with impulse behavior,
Edgar F. Sierra-Alonso, Julian Caicedo-Acosta, Álvaro Ángel Orozco Gutiérrez, Héctor F. Quintero, German Castellanos-Dominguez   +4 more
doaj   +1 more source

Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification

Sensors, 2023
Supervised learning requires the accurate labeling of instances, usually provided by an expert. Crowdsourcing platforms offer a practical and cost-effective alternative for large datasets when individual annotation is impractical.
Jenniffer Carolina Triana-Martinez, Julian Gil-González, Jose A. Fernandez-Gallego, Andrés Marino Álvarez-Meza, Cesar German Castellanos-Dominguez   +4 more
doaj   +1 more source

Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns

Entropy, 2020
Assessment of brain dynamics elicited by motor imagery (MI) tasks contributes to clinical and learning applications. In this regard, Event-Related Desynchronization/Synchronization (ERD/S) is computed from Electroencephalographic signals, which show ...
Luisa Velasquez-Martinez, Julián Caicedo-Acosta, Germán Castellanos-Dominguez   +2 more
doaj   +1 more source

Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity

Sensors, 2023
Motor Imagery (MI) refers to imagining the mental representation of motor movements without overt motor activity, enhancing physical action execution and neural plasticity with potential applications in medical and professional fields like rehabilitation
Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño-Duque, César Germán Castellanos-Domínguez   +4 more
doaj   +1 more source

Individual Detection of Citrus and Avocado Trees Using Extended Maxima Transform Summation on Digital Surface Models

Remote Sensing, 2020
Individual tree detection (ITD) locates plants from images to estimate monitoring parameters, helping the management of forestry and agriculture systems.
Daniel G. García-Murillo, J. Caicedo-Acosta, G. Castellanos-Dominguez   +2 more
doaj   +1 more source

An Explainable Framework Integrating Local Biplots and Gaussian Processes for Unemployment Rate Prediction in Colombia

Computation
Addressing unemployment is essential for formulating effective public policies. In particular, socioeconomic and monetary variables serve as essential indicators for anticipating labor market trends, given their strong influence on employment dynamics ...
Diego Armando Pérez-Rosero, Diego Alejandro Manrique-Cabezas, Jennifer Carolina Triana-Martinez, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source

Artificial Intelligence-Driven Mobile Platform for Thermographic Imaging to Support Maternal Health Care

Computers
Maternal health care during labor requires the continuous and reliable monitoring of analgesic procedures, yet conventional systems are often subjective, indirect, and operator-dependent.
Lucas Miguel Iturriago-Salas, Jeison Andres Mesa-Sarmiento, Paola Alexandra Castro-Cabrera, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source

A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments

Sensors, 2023
An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation.
Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño-Duque, German Castellanos-Dominguez   +4 more
doaj   +1 more source

Explainable Deep Kernel Learning for Interpretable Automatic Modulation Classification

Computers
Modern wireless communication systems increasingly rely on Automatic Modulation Classification (AMC) to enhance reliability and adaptability, especially in the presence of severe signal degradation.
Carlos Enrique Mosquera-Trujillo, Juan Camilo Lugo-Rojas, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source

An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability

Sensors, 2021
Motion capture (Mocap) data are widely used as time series to study human movement. Indeed, animation movies, video games, and biomechanical systems for rehabilitation are significant applications related to Mocap data. However, classifying multi-channel
Cristian Kaori Valencia-Marin, Juan Diego Pulgarin-Giraldo, Luisa Fernanda Velasquez-Martinez, Andres Marino Alvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source