Listar por materia "Neural networks"
Mostrando publicaciones 1-6 de 6
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A method to estimate grape phenolic maturity based on seed images
; Mora, Marco
; Fredes, Claudio (2014)
The timing of the grape harvest has a strong impact on wine quality. A recent line of studies proposes visual seed inspection by a trained expert to determine Phenolic Maturity. In this paper a method is presented to ...
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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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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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Fast tuning of extreme learning machine neural networks based with simple optimization algorithms
; Mora, Marco; ; ; (2022)
Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...
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Grape maturity estimation based on seed images and neural networks
; Mora, Marco; ; Fredes, Claudio (2014)
The grape phenolic maturity is one of the most important parameters to determine the optimal time for harvest. In this paper we propose an innovative methodology for the problem of how this task is performed today. In ...
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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 ...