An Ensemble Method for Non-Intrusive Load Monitoring (NILM) Applied to Deep Learning Approaches

Autor: Silvia Moreno, Hector Teran, Reynaldo Villarreal, Yolanda Vega-Sampayo, Jheifer Paez, Carlos Ochoa, Carlos Alejandro Espejo, Sindy Chamorro-Solano, Camilo Montoya

Publikováno v: Energies, Vol 17, Iss 18, p 4548 (2024)

Climate change, primarily driven by human activities such as burning fossil fuels, is causing significant long-term changes in temperature and weather patterns. To mitigate these impacts, there is an increased focus on renewable energy sources. Howev

Externí odkaz: https://doaj.org/article/e644e1ce587a4b0aa84b563635813dbd

API Content and Blend Uniformity Using Quantum Cascade Laser Spectroscopy Coupled with Multivariate Analysis

Autor: Vladimir Villanueva-López, Leonardo C. Pacheco-Londoño, Reynaldo Villarreal-González, John R. Castro-Suarez, Andrés Román-Ospino, William Ortiz-Rivera, Nataly J. Galán-Freyle, Samuel P. Hernandez-Rivera

Publikováno v: Pharmaceutics, Vol 13, Iss 7, p 985 (2021)

The process analytical technology (PAT) initiative proposed by the US Food and Drug Administration (FDA) suggests innovative methods to better understand pharmaceutical processes. The development of analytical methods that quantify active pharmaceuti

Externí odkaz: https://doaj.org/article/289a11a003ec421a9ddbecea87d14858

Mid-Infrared Laser Spectroscopy Detection and Quantification of Explosives in Soils Using Multivariate Analysis and Artificial Intelligence

Autor: Leonardo C. Pacheco-Londoño, Eric Warren, Nataly J. Galán-Freyle, Reynaldo Villarreal-González, Joaquín A. Aparicio-Bolaño, María L. Ospina-Castro, Wei-Chuan Shih, Samuel P. Hernández-Rivera

Publikováno v: Applied Sciences, Vol 10, Iss 12, p 4178 (2020)

A tunable quantum cascade laser (QCL) spectrometer was used to develop methods for detecting and quantifying high explosives (HE) in soil based on multivariate analysis (MVA) and artificial intelligence (AI). For quantification, mixes of 2,4-dinitrot

Externí odkaz: https://doaj.org/article/2d7f9a314d6441cebd65aa5a6560c7ea

API Content and Blend Uniformity Using Quantum Cascade Laser Spectroscopy Coupled with Multivariate Analysis

Autor: Leonardo C. Pacheco-Londoño, William Ortiz-Rivera, John R. Castro-Suarez, Andrés D. Román-Ospino, Nataly J. Galán-Freyle, Reynaldo Villarreal-González, Vladimir Villanueva-López, Samuel P. Hernández-Rivera

Publikováno v: Pharmaceutics
Volume 13
Issue 7
Pharmaceutics, Vol 13, Iss 985, p 985 (2021)

The process analytical technology (PAT) initiative proposed by the US Food and Drug Administration (FDA) suggests innovative methods to better understand pharmaceutical processes. The development of analytical methods that quantify active pharmaceuti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::574df24ba50872438663268f8e8abd6f

A Signal Processing Method for Respiratory Rate Estimation through Photoplethysmography

Autor: Reynaldo Villarreal, Isaac Kuzmar, Silvia Moreno, Carlos Ochoa-Pertuz, Andres Quintero-Parra

Publikováno v: International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol. 11, No. 2 (2018)
Repositorio Digital USB
Universidad Simón Bolívar
instacron:Universidad Simón Bolívar

Monitoring of respiration is crucial for determining a patient´s health status, specially previously and after an operation. However, many conventional methods are difficult to use in a spontaneously ventilating patient. This paper presents a method

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00bbbf1e73768191bf5d31918d6b0393
https://hdl.handle.net/20.500.12442/2342