Listar por materia "Deep learning"
Mostrando publicaciones 1-14 de 14
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A deep learning approach to population structure inference in inbred lines of maize
(2020)Analysis of population genetic variation and structure is a common practice for genome-wide studies, including association mapping, ecology, and evolution studies in several crop species. In this study, machine learning ...
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A review of convolutional neural network applied to fruit image processing
; Mora, Marco
; ; Barrientos, Ricardo ; Fredes, Claudio ; (2020)
Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households. Therefore, the use of innovative technologies is of vital ...
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A review of neural networks for metagenomic binning
; Mora, Marco; Cuadros-Orellana, Sara ; ; (2025)
One of the main goals of metagenomic studies is to describe the taxonomic diversity of microbial communities. A crucial step in metagenomic analysis is metagenomic binning, which involves the (supervised) classification ...
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Automatic recognition system for traffic signs in Ecuador based on faster R-CNN with ZFNet
(2022)This research presents an application of the Deep Learning technology in the development of an automatic system detection of traffic signs of Ecuador. The development of this work has been divided into two parts, i) in ...
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Deep learning algorithm applied to bacteria recognition
(2022)Pathogenic bacteria are harmful microorganisms capable of causing diseases. To fight or eliminate those microorganisms, antibiotics with antimicrobial action have been developed wich can be synthetic or semi synthetic. ...
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Deep neural network aided sparse bayesian learning for wireless access channel estimation in mm-wave massive Mimo cloud radio access network systems
(2022)Cloud Radio Access Network systems with mmWave Massive MIMO framework can be considered as a potential candidate for next generation wireless communications due to its promise of increased spectral efficiency and distributed ...
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Exploring proteasome inhibition using atomic weighted vector indices and machine learning approaches
(2024)Ubiquitin–proteasome system (UPS) is a highly regulated mechanism of intracellular protein degradation and turnover. The UPS is involved in different biological activities, such as the regulation of gene transcription and ...
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Extreme learning machines for detecting the water quality for human consumption
(2023)Determining the potability of water for consumption is crucial for human health. To assess the water quality, levels of minerals and ions are measured, such as pH, hardness, sodium, chloramines, sulfate, conductivity, ...
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Machine learning in sustainable agriculture: systematic review and research perspectives
(2025)Machine learning (ML) has revolutionized resource management in agriculture by analyzing vast amounts of data and creating precise predictive models. Precision agriculture improves agricultural productivity and profitability ...
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MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning
(2024)Introduction: Antimicrobial resistance (AMR) is a global health problem that requires early and effective treatments to prevent the indiscriminate use of antimicrobial drugs and the outcome of infections. Mass Spectrometry ...
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Multi-channel speech enhancement using labelled random finite sets and a neural beamformer in cocktail party scenario
(2025)In this research, a multi-channel target speech enhancement scheme is proposed that is based on deep learning (DL) architecture and assisted by multi-source tracking using a labeled random finite set (RFS) framework. A ...
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Multi-channel target speech enhancement using labeled random finite sets and deep learning under reverberant environments
(2023)We proposed a multi-channel speech enhancement procedure under reverberant conditions with acoustic source tracking and beamforming. A deep learning algorithm was applied to improve the construction of a measurement set ...
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Uncertainty quantification for plant disease detection using Bayesian deep learning
(2020)Climate change is having an enormous impact on crop production in Latin America and the Caribbean. This problem not only concerns the volume of crop production but also the quality and safety of the food industry. Several ...
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Web-based personal access control system using facial recognition with deep learning techniques
(2022)This paper presents a web application to control personnel access to a work area without contact; this makes it ideal to help combat the Covid-19 health emergency. For its implementation, deep learning and computer vision ...