Regresar
Mostrando 10 resultados de: 117
Filtros aplicados
Publisher
Communications in Computer and Information Science(15)
Lecture Notes in Networks and Systems(10)
Sensors(6)
IEEE Access(5)
Computers in Biology and Medicine(3)
Área temáticas
Métodos informáticos especiales(71)
Ciencias de la computación(27)
Enfermedades(25)
Física aplicada(24)
Medicina y salud(15)
Área de conocimiento
Aprendizaje automático(56)
Ciencias de la computación(48)
Inteligencia artificial(12)
Minería de datos(7)
Neurología(7)
A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry
Conference ObjectAbstract: This document presents a comparison of demand forecasting methods, with the aim of improving demandPalabras claves:Classical methods, Demand forecasting methods, Forecast error, Machine Learning, TEXTILE INDUSTRYAutores:Alemany M.d.M.E., Alemany M.M.E., Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, Leandro L. Lorente-LeyvaFuentes:scopusA Machine Learning Approach for Blood Glucose Level Prediction Using a LSTM Network
Conference ObjectAbstract: Diabetes is a chronic disease characterized by the elevation of glucose in blood resulting in multipPalabras claves:Blood glucose level pbkp_rediction, Blood glucose level prediction, Linear interpolation, long short-Term memory, Machine Learning, TIME SERIESAutores:Belén Maldonado-Cuascota, Diana León Domínguez, Fernando A. Gonzales-Zubiate, Gabriela Pineda-Molina, Hidalgo-Parra A.A., Luis Zhinin-Vera, Nayeli Y. Gómez-Castillo, Pedro E. Cajilima-CardenazFuentes:scopusA New Data-Preprocessing-Related Taxonomy of Sensors for IoT Applications
ArticleAbstract: IoT devices play a fundamental role in the machine learning (ML) application pipeline, as they collePalabras claves:computational intelligence, data analytics, data pre-processing, Internet of Things, Machine Learning, SensorAutores:Diego Hernán Peluffo-Ordóñez, Lopez-Batista V.F., Paul D. Rosero-Montalvo, Vivian Félix López-BatistaFuentes:scopusA data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia
OtherAbstract: In this article, we introduce a data set concerning electric-power consumption-related features regiPalabras claves:Electric power consumption, forecasting, Machine Learning, Smart grid, Socio-demographic dataAutores:Anaya-Isaza A.J., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Jorge Parraga-Alava, Moncayo-Nacaza J.D., Paul D. Rosero-MontalvoFuentes:googlescopusA novel method for objective selection of information sources using multi-kernel SVM and local scaling
ArticleAbstract: Advancement on computer and sensing technologies has generated exponential growth in the data availaPalabras claves:Machine Learning, Multimodality, multiple kernel learning, Source selection, SUPPORT VECTOR MACHINESAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Hernández M.L.Fuentes:scopusTraffic characterization in a communications channel for monitoring and control in real-time systems
ArticleAbstract: The response time for remote monitoring and control in real-time systems is a sensitive issue in devPalabras claves:communication networks, Machine Learning, Real-time systems, remote control, Traffic analysisAutores:Delgadotrejos E., Miguel A. Becerra, Morantes-Guzman L.J., Serna-Guarin L.Fuentes:scopusTrilateration-based Indoor Location using Supervised Learning Algorithms
Conference ObjectAbstract: The indoor positioning system (IPS) has a wide range of applications, due to the advantages it has oPalabras claves:Indoor positioning systems, Machine Learning, Rssi, TrilateracionAutores:Carolina Ormaza, Diego Hernán Peluffo-Ordóñez, Jerry Landivar, Jose Jerry Landívar Guartatanga, Juan C. Aviles, Verónica Ojeda, Victor Asanza ArmijosFuentes:googlescopusA Machine Learning and SUMO-Based Framework for CO2 Emission Prediction in Urban Areas with Web Application Deployment
OtherAbstract: The accelerated growth of vehicle fleets in Latin American cities, coupled with high altitudes and hPalabras claves:CO2 emissions, Machine Learning, OPENSTREETMAP, sumo, Web ApplicationAutores:David Casa-Vaca, Joseph J. Sánchez-Balseca, Juan Pablo Astudillo León, Lemus Cárdenas L.Fuentes:scopusEngineFaultDB: A Novel Dataset for Automotive Engine Fault Classification and Baseline Results
ArticleAbstract: This paper introduces EngineFaultDB, a novel dataset capturing the intricacies of automotive enginePalabras claves:automotive engine, Deep learning, Engine fault, fault classification, Machine Learning, Spark ignition engineAutores:Echeverria F.R., Leo Ramos, Néstor Diego Rivera Campoverde , Vergara M.Fuentes:googleorcidscopusA Tuning Approach Using Genetic Algorithms for Emergency Incidents Classification in Social Media in Ecuador
Abstract: The social media are an excellent opportunity to extract data of almost any topic and perform differPalabras claves:ECUADOR, Emergency text classification, Genetic Algorithms, Machine Learning, social mediaAutores:Garcia-Arteaga J., Jesús Zambrano-Zambrano, Jorge Parraga-Alava, Rodas J.L.Fuentes:scopus