Search Results - "Branch Bedoya, John"

Digital Transformation in Higher Education Institutions: A Systematic Literature Review by Benavides, Lina, Tamayo Arias, Johnny, Arango Serna, Martín, Branch Bedoya, John, Burgos, Daniel

“…Higher education institutions (HEIs) have been permeated by the technological advancement that the Industrial Revolution 4.0 brings with it, and forces…”
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Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review by Laiton-Bonadiez, Camilo, Branch-Bedoya, John W, Zapata-Cortes, Julian, Paipa-Sanabria, Edwin, Arango-Serna, Martin

“…Industry 4.0 technologies have been widely used in the railway industry, focusing mainly on maintenance and control tasks necessary in the railway…”
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A Saliency-Based Sparse Representation Method for Point Cloud Simplification by Leal, Esmeide, Sanchez-Torres, German, Branch-Bedoya, John W., Abad, Francisco, Leal, Nallig

“…High-resolution 3D scanning devices produce high-density point clouds, which require a large capacity of storage and time-consuming processing algorithms. In…”
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Influence of motivation and academic performance in the use of Augmented Reality in education. A systematic review by Amores-Valencia, Antonio, Burgos, Daniel, Branch-Bedoya, John W

“…The recent technologies rise today as a tool of significant importance today, especially in the educational context. In this sense, Augmented Reality (AR) is a…”
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AmpClass: an Antimicrobial Peptide Predictor Based on Supervised Machine Learning by Mera-Banguero, Carlos, Orduz, Sergio, Cardona, Pablo, Orrego, Andrés, Muñoz-Pérez, Jorge, Branch-Bedoya, John W

“…In the last decades, antibiotic resistance has been considered a severe problem worldwide. Antimicrobial peptides (AMPs) are molecules that have shown…”
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OnionFoliageSET: Labeled dataset for small onion and foliage flower crop detection by Restrepo-Arias, Juan Felipe, Branch-Bedoya, John W., Arregocés-Guerra, Paulina

“…Digital image datasets for Precision Agriculture (PA) still need to be available. Many problems in this field of science have been studied to find solutions,…”
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A GIS Pipeline to Produce GeoAI Datasets from Drone Overhead Imagery by Ballesteros, John R., Sanchez-Torres, German, Branch-Bedoya, John W.

“…Drone imagery is becoming the main source of overhead information to support decisions in many different fields, especially with deep learning integration…”
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Plant Disease Detection Strategy Based on Image Texture and Bayesian Optimization with Small Neural Networks by Restrepo-Arias, Juan Felipe, Branch-Bedoya, John W., Awad, Gabriel

“…A novel method of disease diagnosis, based on images that capture every part of a diseased plant, such as the leaf, the fruit, the root, etc., is presented in…”
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VEPL Dataset: A Vegetation Encroachment in Power Line Corridors Dataset for Semantic Segmentation of Drone Aerial Orthomosaics by Cano-Solis, Mateo, Ballesteros, John R., Branch-Bedoya, John W.

“…Vegetation encroachment in power line corridors has multiple problems for modern energy-dependent societies. Failures due to the contact between power lines…”
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HAGDAVS: Height-Augmented Geo-Located Dataset for Detection and Semantic Segmentation of Vehicles in Drone Aerial Orthomosaics by Ballesteros, John R., Sanchez-Torres, German, Branch-Bedoya, John W.

“…Detection and Semantic Segmentation of vehicles in drone aerial orthomosaics has applications in a variety of fields such as security, traffic and parking…”
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Land Cover Classification in the Antioquia Region of the Tropical Andes Using NICFI Satellite Data Program Imagery and Semantic Segmentation Techniques by Gomez-Ossa, Luisa F., Sanchez-Torres, German, Branch-Bedoya, John W.

“…Land cover classification, generated from satellite imagery through semantic segmentation, has become fundamental for monitoring land use and land cover change…”
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CYCLOPS: A cyclists’ orientation data acquisition system using RGB camera and inertial measurement units (IMU) by Arias-Correa, Mauricio, Robledo, Sebastián, Londoño, Mateo, Bañol, Johnatan, Madrigal-González, Carlos, Ballesteros, John R., Branch-Bedoya, John W.

“…This paper introduces CYCLOPS, an acquisition system developed to capture images and inertial measurement data of moving cyclists from a vehicle. The…”
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EspiNet V2: a region based deep learning model for detecting motorcycles in urban scenarios by Espinosa Oviedo, Jorge Ernesto, Velastín, Sergio A, Branch Bedoya, John William

“…This paper presents “EspiNet V2” a Deep Learning model, based on the region-based detector Faster R-CNN. The model is used for the detection of motorcycles in…”
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Optimized registration based on an ant colony for markerless augmented reality systems by Jaramillo-Rojas, Gloria Elena, Branch Bedoya, John William

“…Accurate registration in augmented reality systems is essential to guarantee the visual consistency of the augmented environment. Although error in the…”
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Point cloud saliency detection via local sparse coding by Leal Narvaez, Esmeide Alberto, Sanchez Torres, German, Branch Bedoya, John William

“…The human visual system (HVS) can process large quantities of visual information instantly. Visual saliency perception is the process of locating and…”
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Antimicrobial peptides designed by computational analysis of proteomes by Monsalve, Dahiana, Mesa, Andrea, Mira, Laura M., Mera, Carlos, Orduz, Sergio, Branch-Bedoya, John W.

“…Antimicrobial peptides (AMPs) are promising cationic and amphipathic molecules to fight antibiotic resistance. To search for novel AMPs, we applied a…”
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Deep 3D Neural Network for Brain Structures Segmentation Using Self-Attention Modules in MRI Images by Laiton-Bonadiez, Camilo, Sanchez-Torres, German, Branch-Bedoya, John

“…In recent years, the use of deep learning-based models for developing advanced healthcare systems has been growing due to the results they can achieve…”
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Evaluating supervised learning approaches for spatial-domain multi-focus image fusion by Pedro Atencio Ortiz, sanchez, German, Branch Bedoya, John William

“…Image fusion is the generation of an image that combines the most relevant information from a set of images of the same scene, acquired with different cameras…”
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Automatic Detection of Traffic Accidents from Video Using Deep Learning Techniques by Robles-Serrano, Sergio, Sanchez-Torres, German, Branch-Bedoya, John

“…According to worldwide statistics, traffic accidents are the cause of a high percentage of violent deaths. The time taken to send the medical response to the…”
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Stochastic optimization in mine planning scheduling by Sepúlveda, Giovanni Franco, Álvarez, Patricia Jaramillo, Bedoya, John Branch

“…Mine planning scheduling of a mineral resource exploitation aims to maximize the profit of the mining project. Frequently, there have been in use technologies…”
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