Listar por materia "Deep learning"
Mostrando publicaciones 1-8 de 8
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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
(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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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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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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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 ...