Výsledky vyhledávání - "Ivan Ramirez-Morales"

Akademický článek

Detection of Bovine Mastitis in Raw Milk, Using a Low-Cost NIR Spectrometer and k-NN Algorithm

Autor: Ivan Ramirez-Morales, Lenin Aguilar, Enrique Fernandez-Blanco, Daniel Rivero, Jhonny Perez, Alejandro Pazos

Publikováno v: Applied Sciences, Vol 11, Iss 22, p 10751 (2021)

Among the bovine diseases, mastitis causes high economic losses in the dairy production system. Nowadays, detection under field conditions is mainly performed by the California Mastitis Test, which is considered the de facto standard. However, this m

Externí odkaz: https://doaj.org/article/2f9ae38265304bacaaa07d2c0779ad36

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Detection of Bovine Mastitis in Raw Milk, Using a Low-Cost NIR Spectrometer and k-NN Algorithm

Autor: Enrique Fernandez-Blanco, Lenin Aguilar, Daniel Rivero, Jhonny Perez, Alejandro Pazos, Ivan Ramirez-Morales

Publikováno v: Applied Sciences, Vol 11, Iss 10751, p 10751 (2021)
Applied Sciences
Volume 11
Issue 22
RUC. Repositorio da Universidade da Coruña
instname
Universitat Oberta de Catalunya (UOC)

This article belongs to the Special Issue Applied Machine Learning in NIR Technology [Abstract] Among the bovine diseases, mastitis causes high economic losses in the dairy production system. Nowadays, detection under field conditions is mainly perfo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::544656df52b7bd507c6dd8b5f343a372
https://www.mdpi.com/2076-3417/11/22/10751

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Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques

Autor: Enrique Fernandez-Blanco, Daniel Rivero, Ivan Ramirez-Morales, Julian Coronel-Reyes, Alejandro Pazos

Publikováno v: RUC. Repositorio da Universidade da Coruña
instname

Nowadays, consumers are more concerned about freshness and quality of food. Poultry egg storage time is a freshness and quality indicator in industrial and consumer applications, even though egg marking is not always required outside the European Uni

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9880e4e382ddf44289f83d35a3b87367
https://doi.org/10.1016/j.compag.2017.12.030

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Optimization of NIR calibration models for multiple processes in the sugar industry

Autor: Enrique Fernandez-Blanco, Ivan Ramirez-Morales, Daniel Rivero, Alejandro Pazos

Publikováno v: RUC. Repositorio da Universidade da Coruña
instname

[Abstract] The measurements of Near-Infrared (NIR) Spectroscopy, combined with data analysis techniques, are widely used for quality control in food production processes. This paper presents a methodology to optimize the calibration models of NIR spe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3030a6bbedfc382554fb7fe3bd6d19a2
https://doi.org/10.1016/j.chemolab.2016.10.003

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AUTOMATIC CLASSIFICATION OF WATER SAMPLES USING AN OPTIMIZED SVM MODEL APPLIED TO CYCLIC VOLTAMMETRY SIGNALS

Autor: Cinthia Romero Flores, Ivan Ramirez-Morales, Hugo Romero

Publikováno v: Vitae, Volume: 26, Issue: 2, Pages: 103-94, Published: AUG 2019
Vitae, Vol 26, Iss 2 (2019)

Background: concern about the quality of the water for human consumption has become widespread among the population. The taste and some problems associated with drinking water have been the cause of increased demand for bottled water. Due to this, da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65a0e16fb8e10bb7dcbf1ada8312e8b7
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0121-40042019000200094&lng=en&tlng=en

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Detection of Cutaneous Tumors in Dogs Using Deep Learning Techniques

Autor: Lorena Zapata, Lenin Aguilar, Jairo Hidalgo, Esmeralda Pimbosa, Hugo Arias-Flores, Marco Yandún, Cesar Guevara, Ivan Ramirez-Morales, Lorena Chalco

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030204532
AHFE (14)

Cytological diagnosis is useful in the practical context compared to the histopathology, since it can classify pathologies among the cutaneous masses, the samples can be collected easily without anesthetizing the patient, at very low cost. However, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4eacdaadf8e3685a03ee7769281e271b
https://doi.org/10.1007/978-3-030-20454-9_8

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Mathematical Model of Intrusion Detection Based on Sequential Execution of Commands Applying Pagerank

Autor: Marco Yandún, Fernando Aguilar-Galvez, Dioselina Pimbosa Ortiz, Ivan Ramirez-Morales, Jairo Hidalgo, Lorena Zapata-Saavedra, Cesar Guevara, Hugo Arias, Lorena Chalco-Torres

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030204877
AHFE (9)

Cybersecurity in networks and computer systems is a very important research area for companies and institutions around the world. Therefore, safeguarding information is a fundamental objective, because data is the most valuable asset of a person or c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bf21cd6379c2f5698df8c712fa682a46
https://doi.org/10.1007/978-3-030-20488-4_12

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Mammogram Classification Schemes by Using Convolutional Neural Networks

Autor: Wilmer Rivas, Carlos Aguilar, Danny Soriano, Eduardo Tusa, Ivan Ramirez-Morales, Maritza Alexandra Pinta

Publikováno v: Communications in Computer and Information Science ISBN: 9783319727264

This work presents the comparison of two schemes of mammogram classification based on convolutional neural networks (CNN). The main difference between these two classification schemes relies on the number of bits per image pixel, the feature extracti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::43d81a61915893d303b13a4f0fd20696
https://doi.org/10.1007/978-3-319-72727-1_6

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Multi-category Classification of Mammograms by Using Convolutional Neural Networks

Autor: Emerson Campoverde, Bertha Mazon, Ivan Ramirez-Morales, Edison Moya, Eduardo Tusa, Wilmer Rivas

Publikováno v: 2017 International Conference on Information Systems and Computer Science (INCISCOS).

This work describes the process of multi-category classification of mammograms by using Convolutional Neural Networks (CNN), starting from the acquisition and preparation of the dataset, then the architecture and training of the Inception-v3 model fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5afb5ec111b7027a411952e3f7c2729b
https://doi.org/10.1109/inciscos.2017.56

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Automated Early Detection of Drops in Commercial Egg Production Using Neural Networks

Autor: Alejandro Pazos, Ivan Ramirez-Morales, Enrique Fernandez-Blanco, Daniel Rivero

Publikováno v: RUC. Repositorio da Universidade da Coruña
instname

[Abstract] 1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production. 2. Unprocessed data were collected from a commercial egg farm on a daily basis over 7 years

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1c5ced1f706a9a19cb1b5e1b434c928
https://hdl.handle.net/2183/19770

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