810 results for machine learning

Agricultural Crop Yield Prediction Using Machine Learning

Joel Junior García-Arteaga; Jesús Javier Zambrano-Zambrano; Roberth Alcivar-Cevallos et al.

Revista Arbitrada Interdisciplinaria Koinonía, Vol. 5 No. 2 · 2020 · Spanish · DOAJ

Crop yield prediction is addressed through machine learning. Two predictor variables were used: hectares harvested, and production in tons. For the first case, the best model was a dense neural network (DNN) architecture, with a MSE of 0.0081, followed by Random Forest (RF) with an MSE of 0.0104…

Airport resource allocation using machine learning techniques

Maged Mamdouh; Mostafa Ezzat; Hesham A. Hefny

Inteligencia Artificial, Vol. 23 No. 65 · 2020 · Spanish · DOAJ Scopus

…demands. this research presents a comparison between the most used machine learning techniquesimplemented in many different fields for demand prediction and resource allocation. The prediction model nomi-nated and used in this research is the Support Vector Machine (SVM) to predict the required…

Machine learning approach for multidimensional poverty estimation

Mario Esteban Ochoa Guaraca; Ricardo Castro; Alexander Arias Pallaroso et al.

Revista Tecnológica, Vol. 33 No. 2 · 2021 · Spanish · DOAJ Scopus

…analysis. This study proposes the use of technologies such as Machine Learning (ML) are the answers to solving this data scarcity. The objective is to estimate the multidimensional poverty index at the personal level in a particular territory of Ecuador by using Machine Learning (ML) regression…

Machine learning in industrialization: a bibliometric analysis

Guillermo Alexander Loayza-Delgado; Xiomara Luciana Tejada-Montalvo; María Fernanda Carnero-Quispe et al.

Dyna, Vol. 92 No. 235 · 2025 · Spanish · DOAJ Scopus

Machine learning is currently emerging as one of the most rapidly advancing technologies, with a recent upward trend in its use for process automation across industrial processes. The objective of this study was to conduct a bibliometric analysis to identify research trends in machine learning. The…

Calidad de datos climáticos con Machine Learning

Tumbaco Vega, Bruce Anthony; Joselyn Estefania, Garcia Ochoa

2026 · Spanish · Zenodo

Symmetry-Based Brain Abnormality Detection Using Machine Learning

Mohammad Al-Azawi

Inteligencia Artificial, Vol. 24 No. 68 · 2022 · Spanish · DOAJ Scopus

…(NB), random forest (RF), logistic regression (LR), and support vector machine (SVM). The obtained results from these classifiers have been discussed thoroughly and it was found that the best results were obtained from RF classifiers where the accuracy was 98.2%. Finally, The results obtained and…

Motivation and personalization of teaching with machine learning

Raúl Gómez Martínez; María Luisa Medrano García; Tomás Aznar Sánchez

Journal of Management and Business Education, Vol. 6 No. 3 · 2023 · Spanish · DOAJ

…the training they are going to receive and be able to personalize the learning experience according to this motivation. To achieve this, we describe an experience in which a machine learning model of decision trees was trained using a voluntary survey generated through LinkedIn. By consulting the…

Voltage Stability Margin Estimation Using Machine Learning Tools

Gabriel Guañuna; Santiago Chamba; Nelson Granda et al.

Revista Técnica Energía, Vol. 20 No. 1 · 2023 · Spanish · DOAJ

…matrix for training an artificial neural network and a support vector machine, in its regression version, to predict the voltage stability margin, capable of being used in real time. The performance of the prediction tools is evaluated through the mean square error and the coefficient of…

Artificial Extinction Archives: Machine Learning for Ecological Mourning

Open Library of Humanities, Vol. 12 No. 1 · 2026 · Spanish · DOAJ Scopus

This article examines how algorithmic and machine-learning–based creative practices can offer new modes for narrating, and mourning, species extinction in the Anthropocene. To do so, I conduct a creative-practice–led analysis of the Artificial Extinction Archives (AEA): a new media artwork wherein…

The machine learning in the prediction of elections

M.S.C. José A. León-Borges; M.A. Roger-Ismael-Noh-Balam; Lic. Lino Rangel Gómez et al.

ReCIBE, Vol. 4 No. 2 · 2015 · Spanish · DOAJ

…necessary to decide, which software, has better performance for such learning of classification. The main reason for the development of this work, is to demonstrate the efficiency of algorithms, with different data types. At the end, it may be decided, the algorithm with the better performance in…

Machine Learning-based Extrapolation of Crop Cultivation Cost

Poonam Bari; Lata Ragha

Inteligencia Artificial, Vol. 27 No. 74 · 2024 · Spanish · DOAJ Scopus

…agricultural decision-making. The main goal of the study is to compare machine learning (ML) techniques to measure relationships among operational cost characteristics for predicting crop cultivation costs before the start of the growing season using the dataset made available by the Ministry of…

Machine Learning for the Evolutionary Analysis of Breast Cancer

Alexander Mackenzie Rivero; Alberto Rodríguez Rodríguez; Edwin Joao Merchán Carreño et al.

Journal of Science and Research, Vol. 3 No. CITT2017 · 2018 · Spanish · DOAJ

The use of machine learning allows the creation of a predictive data model, as a result of the analysis in a data set with 286 instances and nine attributes belonging to the Institute of Oncology of the University Medical Center. Ljubljana. Based on this situation, the data are preprocessed by…

Classification of COVID-19 associated symptomatology using machine learning

Julian Andres Ramirez-Bautista; Silvia L. Chaparro-Cárdenas; Wilson Gamboa-Contreras et al.

Dyna, Vol. 90 No. 226 · 2023 · Spanish · DOAJ Scopus

…presented by positive cases of infection are the best predictors. A machine learning approach was used with data from 5,434 people, with eleven symptoms: breathing problems, dry cough, sore throat, running nose, history of asthma, chronic lung, headache, heart disease, hypertension, diabetes, and…

Automatic determination of the Atterberg limits with machine learning•

David Antonio Rosas; Daniel Burgos; John Willian Branch Bedoya et al.

Dyna, Vol. 89 No. 224 · 2022 · Spanish · DOAJ Scopus

In this study, we determine the liquid limit (𝑊𝑙), plasticity index (PI), and plastic limit (𝑊𝑝) of several natural fine-grained soil samples with the help of machine-learning and statistical methods. This enables us to locate each soil type analysed in the Casagrande plasticity chart with a single…

Predicción de ovario poliquístico aplicando técnicas de Machine Learning

Carlos Eduardo Cañedo Figueroa; Luisa Fernanda Blancarte Flores; Wendy Sofia Guerra Hernández et al.

Tecnociencia Chihuahua, Vol. 17 No. 2 · 2023 · Spanish · DOAJ

…documento se describe el uso y la comparación de algunos algoritmos de machine learning con la finalidad de ofrecer una ventana de oportunidad en la clasificación de datos de forma eficiente. Por lo que se utilizaron tres algoritmos para realizar un diagnóstico del SOP contemplando 18…

Estimation of emerald mineralization probability using machine learning algorithms

Daniela Neva-Rodriguez; Luis Hernán Ochoa-Gutierrez

Dyna, Vol. 92 No. 235 · 2025 · Spanish · DOAJ Scopus

This research proposes a machine learning (ML) model that estimates the probability of emerald mineralization in rocks of the Western Emerald Belt (CEOC). Element concentrations, lithologies and coordinates were used as input variables and productivity as the target variable (176 samples). The…

Startup Success Prediction with PCA-Enhanced Machine Learning Models

Youngkeun Choi

Journal of Technology Management & Innovation, Vol. 19 No. 4 · 2024 · Spanish · DOAJ Scopus

This study evaluates the effectiveness of various machine learning algorithms in predicting startup success and explores the performance improvement achieved by applying Principal Component Analysis (PCA) to the models. By analyzing logistic regression, support vector classifier (SVC), XGBoost, and…

Dynamic Malware Analysis Using Machine Learning-Based Detection Algorithms

Erly Galia Villarroel Enriquez; Juan Gutiérrez-Cárdenas

Interfases, Iss 019, Pp 119-138 (2024) · 2024 · Spanish · DOAJ

Con la creciente popularidad del uso de teléfonos celulares, el riesgo de infecciones por malware en dichos dispositivos ha aumentado, lo que genera pérdidas financieras tanto para individuos como para organizaciones. Las investigaciones actuales se centran en la aplicación del aprendizaje…

Machine Learning Model for Primary Solar Resource Assessment in Colombia

Edgar Darío Obando Paredes

TecnoLógicas, Vol. 26 No. 58 · 2023 · Spanish · DOAJ

This work introduces a Machine Learning (ML) model designed to predict solar radiation in diverse cities representing Colombia's climatic variability. It is crucial to assert that the amount of solar energy received in a specific region is directly related to solar radiation and its availability…

Uso de técnicas de Machine Learning en el experimento CMS

Cristina Oropeza-Barrera

Figuras Revista Académica de Investigación, Vol. 1 No. 3 · 2020 · Spanish · DOAJ Scopus

…del LHC (Large Hadron Collider) han implementado técnicas de Machine Learning en sus operaciones con resultados impresionantes. En este documento se resumen algunas de las aplicaciones principales del aprendizaje automatizado, en particular de las redes neuronales artificiales, en el experimento…