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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.M.E., Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, Leandro L. Lorente-LeyvaFuentes: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-MontalvoFuentes: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:googlescopusClassification of subjects with parkinson's disease using finger tapping dataset
Conference ObjectAbstract: Parkinson's disease is the second most common neurodegenerative disorder and affects more than 7 milPalabras claves:classification, Finger Tapping, Machine learning, Parkinson's DiseaseAutores:Diego Hernán Peluffo-Ordóñez, Enrique Pelaez, Francis R. Loayza, Leandro L. Lorente-Leyva, Sanchez-Pozo N.N., Victor Asanza ArmijosFuentes:scopusComparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms
ArticleAbstract: Breast cancer causes approximately 684,996 deaths worldwide, making it the leading cause of female cPalabras claves:Artificial Intelligence, biomedical imaging, Cáncer, image segmentation, Machine learning, Mammography, Medical diagnostic imagingAutores:Anaya-Isaza A.J., Cabrera-Chavarro J.M., Diego Hernán Peluffo-Ordóñez, Lorena Guachi-Guachi, Mera-Jimenez L., Rios-Patino J.I.Fuentes:scopusAddressing the data acquisition paradigm in the early detection of pediatric foot deformities
ArticleAbstract: The analysis of plantar pressure through podometry has allowed analyzing and detecting different typPalabras claves:CHILDREN, Data Analysis, Embedded Systems, Machine learning, Plantar pressureAutores:Diego Hernán Peluffo-Ordóñez, Fuentes-Hernández E.A., Manuel Eugenio Morocho-Cayamcela, Paul D. Rosero-Montalvo, Sierra-Martínez L.M.Fuentes:scopusArtificial and natural intelligence integration
Conference ObjectAbstract: The large amount of data generated by different activities -academic,scientific, business and industPalabras claves:Data Mining, Machine learning, VisualizationAutores:Alvarado-PÉrez J.C., Diego Hernán Peluffo-OrdóñezFuentes:scopusEvaluation of characterization techniques for classification of seismic-volcanic signals of the nevado del ruiz
ArticleAbstract: Currently, researches have been carried out on automatic classification of seismic-volcanic events-mPalabras claves:Cepstral, characterization, classification, Machine learning, Seismic-volcanicAutores:Bonilla J.L., Bravo Y.E., Cabrera P.C., Diego Hernán Peluffo-Ordóñez, Narváez E.R.Fuentes:scopusIntelligence in embedded systems: Overview and applications
Conference ObjectAbstract: The use of electronic systems and devices has become widely spread and is reaching several fields asPalabras claves:Decision Making, Embedded Systems, internet of things, Machine learningAutores:Diego Hernán Peluffo-Ordóñez, Edgar D.V. Jaramillo, Edwin A. Rosero, Jorge A. Caraguay-Procel, José A. Pijal-Rojas, Lopez-Batista V.F., Paul D. Rosero-MontalvoFuentes:scopusRecognition and Classification of Cardiac Arrhythmias Using Discrete Wavelet Transform (DWT) and Machine Learning Techniques
Conference ObjectAbstract: Cardiac arrhythmias are heart rhythm problems that usually occur when the electrical impulses coordiPalabras claves:cardiac arrhythmia, electrocardiogram (ECG), Feature Extraction, Machine learning, Performance MeasuresAutores:Ayala-Cucas H.A., Diego Hernán Peluffo-Ordóñez, León-Salas A.J., Mora-Piscal E.A., Torres D.M.Fuentes:scopus