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Lecture Notes in Networks and Systems(2)
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Future of Educational Innovation Workshop Series - Machine Learning-Driven Digital Technologies for Educational Innovation Workshop 2021(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
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Effect of simulated height on people exposed to different scenarios by means of virtual reality: Preliminary study.
ArticleAbstract: The use of virtual reality has become a fundamental pillar of information technologies and has beenPalabras claves:fear of heights, muscle activity, simulated height, Virtual RealityAutores:Diego Hernán Peluffo-Ordóñez, Moncayo D.S.M., Muñoz J.A.S., Torres D.M.Fuentes:scopusImpact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques
Conference ObjectAbstract: Cardiac arrhythmias are heartbeat disorders in which the electrical impulses that coordinate the carPalabras claves:cardiac arrhythmia, electrocardiogram (ECG), Feature Extraction, Performance Measures, Supervised machine learningAutores:Andrés Ayala-Cucas H., Diego Hernán Peluffo-Ordóñez, León-Salas A.J., Mora-Piscal E.A., Torres D.M.Fuentes:scopusKernel-Spectral-Clustering-Driven Motion Segmentation: Rotating-Objects First Trials
Conference ObjectAbstract: Time-varying data characterization and classification is a field of great interest in both scientifiPalabras claves:Kernels, motion tracking, Spectral clusteringAutores:Diego Hernán Peluffo-Ordóñez, I. C. Marrufo-Rodríguez, K. L. Ponce-Guevara, M. A. Páez-Jaime, Omar R. Oña-Rocha, Riascos-Salas J.A., Salazar-Castro J.A., Torres D.M.Fuentes:scopusMulti-target tracking for sperm motility measurement using the kalman filter and JPDAF: Preliminary results
ArticleAbstract: The determination of sperm motility characteristics is of great importance for the specification ofPalabras claves:JPDAF, Kalman filter, MORPHOLOGY, Motility, spermatozoaAutores:Diego Hernán Peluffo-Ordóñez, Guerrero-Chapal H., Lopez-Mesa D., Mejía-Manzano J., Salazar-Castro J.A., Torres D.M.Fuentes:scopusNeural Networks on Noninvasive Electrocardiographic Imaging Reconstructions: Preliminary Results
Conference ObjectAbstract: In the reverse electrocardiography (ECG) problem, the objective is to reconstruct the heart’s electrPalabras claves:Computational geometry, Graph Theory, Hamilton cyclesAutores:Diego Hernán Peluffo-Ordóñez, León-Salas A.J., Torres D.M.Fuentes: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:scopusPredicting High School Students' Academic Performance: A Comparative Study of Supervised Machine Learning Techniques
Conference ObjectAbstract: The proliferation of mobile devices and the rapid development of information and communication technPalabras claves:ACADEMIC PERFORMANCE, classification, Educational Data Mining, Educational Innovation, High school education, Supervised learningAutores:Diana Chamorro, Diego Hernán Peluffo-Ordóñez, Mejia-Ordonez J.S., Sanchez-Pozo N.N., Torres D.M.Fuentes:googlescopus