Listar por tema "machine learning"
Mostrando ítems 41-60 de 132
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Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF–SVM–Based Model
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)The purpose of chromium plating is the creation of a hard and wear-resistant layer of chromium over a metallic surface. The principal feature of chromium plating is its endurance in the face of the wear and corrosion. This ... -
Clustering aglomerativo para la desambiguación de nombres de autor
(09/2021)La ambigüedad de los nombres de autor en las bases de datos bibliográficas supone un gran problema a la hora de la recuperación de información, la realización de análisis bibliométricos y la visibilidad de la ciencia. Esto ... -
Clustering analysis for automatic certification of LMS strategies in a university virtual campus
(IEEE Access, 2019)In recent years, the use of Learning Management Systems (LMS) has grown considerably. This has had a strong effect on the learning process, particularly in higher education. Most universities incorporate LMS as a complement ... -
Cognitive Evaluation of Examinees by Dynamic Question Set Generation based on Bloom’s Taxonomy
(IETE Journal of Research, 2023)Educational data mining (EDM) is an emerging topic in recent years steered by data mining and machine learning techniques to enhance students’ overall learning experience and academic progress. In recent years EDM techniques ... -
Comparativa de modelos de Machine Learning interpretables para la predicción de riesgo crediticio
(22/07/2021)Los sistemas de Inteligencia Artificial son ampliamente utilizados e impactan en la vida diaria de las personas de forma creciente, en gran medida debido al avance en Machine Learning y su alta precisión. Los modelos suelen ... -
Comparativa de Técnicas de Aprendizaje Automático para Análisis y Predicción de Sequía
(03/2022)La sequía es un fenómeno natural complejo, que se constituye en un foco de interés a nivel mundial, sobre todo por las enormes pérdidas económicas y humanas que provoca en las regiones afectadas. Por ésta razón es importante ... -
Comparativa de técnicas Machine Learning sobre comportamiento de pago de clientes con cuentas por cobrar
(19/09/2019)El presente proyecto tiene como objetivo identificar el algoritmo con mayor exactitud usando una comparativa de técnicas de Machine Learning para detectar el comportamiento de pago de clientes con cuentas por cobrar con ... -
Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)In finance and management, insurance is a product that tends to reduce or eliminate in totality or partially the loss caused due to different risks. Various factors affect house insurance claims, some of which contribute ... -
CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ... -
Connection between sleeping patterns and cognitive deterioration in women with Alzheimer’s disease
(Springer Science and Business Media Deutschland GmbH, 2022)Background: Alzheimer’s disease (AD) causes symptoms such as dementia, memory loss, disorientation, and even aggressiveness, and is more common in women than in men. AD may also manifest itself in changes in sleep patterns. ... -
COVID-19 Mortality Risk Prediction Using X-Ray Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ... -
Creación de un clasificador de sentimientos de alumnos mediante minería de opinión
(06/02/2023)Para un profesor, reconocer la opinión de un alumno sobre él puede ser bastante difícil. Cuando hay mucha información, leerla toda puede ser complicado, y se necesita una herramienta que permita extraer todos estos datos. ... -
Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision
(IEEE Access, 2020)Higher Education plays a principal role in the changing and complex world of today, and there has been rapid growth in the scientific literature dedicated to predicting students academic success or risk of dropout thanks ... -
Data Science Techniques for COVID-19 in Intensive Care Units
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)Data scientists aim to provide techniques and tools to the clinicians to manage the new coronavirus disease. Nowadays, new emerging tools based on Artificial Intelligence (AI), Image Processing (IP) and Machine Learning ... -
Day-Ahead Price Forecasting for the Spanish Electricity Market
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)During the last years, electrical systems around the world and in particular the Spanish electric sector have undergone great changes with the focus of turning them into more liberalized and competitive markets. For this ... -
Detección de uso correcto de tapabocas empleando aprendizaje automático
(22/09/2021)La pandemia causada por el virus COVID-19 ha causado estragos alrededor del mundo y la primera barrera de defensa es el uso correcto de tapabocas. El presente trabajo presenta una herramienta de software basada en ... -
Detección y Diagnóstico de Fallas en Rodamientos con Velocidad Variable Aplicando Aprendizaje Profundo
(20/07/2020)Detectar potenciales anomalías en rodamientos de equipos rotativos, minimiza el riesgo de pérdidas de lucro cesante, costos de reparación y afectación de seguridad de procesos como consecuencia de una falla. Los rodamientos ... -
Detecting Malware in Cyberphysical Systems Using Machine Learning: a Survey
(KSII transactions on internet and information systems, 2021)Among the scientific literature, it has not been possible to find a consensus on the definition of the limits or properties that allow differentiating or grouping the cyber-physical systems (CPS) and the Internet of Things ... -
Determinación automática de los límites de Atterberg con machine learning
(DYNA, 2022)En este estudio, determinamos el límite líquido (𝑊𝑙), el índice de plasticidad (PI) y el límite plástico (𝑊𝑝) de suelos naturales finos con ayuda de machine-learning y métodos estadísticos. Ello permite localizarlos ... -
Development of a Predictive Model for Induction Success of Labour
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)Induction of the labour process is an extraordinarily common procedure used in some pregnancies. Obstetricians face the need to end a pregnancy, for medical reasons usually (maternal or fetal requirements) or less frequently, ...
