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Data-driven framework for the detection of non-technical losses in distribution grids
(2020-12-24)
Non-technical losses (NTL) occurring in the electric grid, particularly at the distribution level may cause a negative impact on utilities' interest, paying consumers and states. Reducing NTL can increase revenue, profit, ...
Assessing and forecasting method of financial efficiency in a free industrial economic zone
(2021-06-11)
: Industrial free zones are key to the economic progress of developing countries, making the evaluation and forecast of efficiency in these organisations relevant. This research proposes a three-phase method to evaluate ...
Definición de Perfiles Geográficos de hurto de automóviles. Caso Aplicado en Cartagena de Indias
(2020-06)
Esta investigación desarrolla un análisis geoespacial del hurto de automóviles ocurridos en la ciudad de Cartagena de Indias - Colombia. En el proceso de definición de perfiles de criminalidad se analizó el delito del hurto ...
Analysis and classification of lung and muscular tissues in ultrasound images using 2D wavelet transform and machine learning
(2020-11-03)
Ultrasound has been considered a safe and accurate alternative to radiography and computerized tomography to diagnose lung diseases such as pneumonia. However, speckle noise, artifacts or certain conditions can difficult ...
Toward an adaptive protection scheme in active distribution networks: Intelligent approach fault detector
(2021-01)
Conventional protection schemes have proven insufficient for the protection of Active Distribution Networks (ADN). Novel protection schemes with an adaptive approach should be developed to guarantee the protection of ADN ...
A computer vision system for detecting motorcycle violations in pedestrian zones
(2024-05-02)
This paper presents a system that relies on computer vision to identify instances of motorcycle
violations in crosswalks utilizing CNNs. The system was trained and evaluated on a novel
public dataset published by the ...
Predicting sunspot number from topological features in spectral images I: Machine learning approach
(2024-07-19)
This study presents an advanced machine learning approach to predict the number of sunspots using a comprehensive dataset derived from solar images provided by the Solar and Heliospheric Observatory (SOHO). The dataset ...
Machine learning models for predicting geomagnetic storms across five solar cycles using Dst index and heliospheric variables
(2024-08-14)
This study aims to improve the understanding of geomagnetic storms by utilizing machine learning models and analyzing several heliophysical variables, such as the interplanetary magnetic field, proton density, solar wind ...
QCL infrared spectroscopy combined with machine learning as a useful tool for classifying acetaminophen tablets by brand
(2024-07-28)
The development of new methods of identification of active pharmaceutical ingredients (API) is a subject of paramount importance for research centers, the pharmaceutical industry, and law enforcement agencies. Here, a ...
Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.
