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Lecture Notes in Networks and Systems(5)
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics(2)
2020 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2020(1)
2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020(1)
2022 IEEE International Autumn Meeting on Power Electronics and Computing Ropec 2022(1)
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Data Analysis Architecture using Techniques of Machine Learning for the Prediction of the Quality of Blood Fonations against the Hepatitis C Virus
Conference ObjectAbstract: Nowadays the WHO (World health Organization) has difficulties improving the access to safe blood. ThPalabras claves:Artificial neural network, Blood Donor, data science, HEPATITIS C, K-nearest neighbor, Machine Learning, Neural network, Oversizing, Principal Component Analysis, random forest, Support Vector MachineAutores:Denys Dutan-Sanchez, Paul Idrovo, Paul Idrovo-Berrezueta, Remigio Hurtado Ortiz, Vladimir Robles-BykbaevFuentes:googlescopusAnalysis model of the most important factors in Covid-19 through data mining, descriptive statistics and random forest
Conference ObjectAbstract: The Covid19 pandemic has had a great impact worldwide, it has become a major problem due to the demaPalabras claves:ALGORITMO, Análisis, clustering, CORONAVIRUS, covid19, PCa, Precision, random forestAutores:Juan Carlos Barrera, Juan Carlos Barrera Barrera, Katherine Michelle Barrera Barrera, Remigio Hurtado OrtizFuentes:scopusA New Architecture for Diabetes Prediction Using Data Mining, Deep Learning, and Ensemble Algorithms
OtherAbstract: It is a big challenge to diagnose diabetes in an early stage. This causes a health problem because iPalabras claves:Adaboost, artificial neural networks, Data preprocessing, data science, DIABÉTES, Predictive analysis, random forestAutores:Adolfo Jara-Gavilanes, Remigio Hurtado Ortiz, Romel Ávila-FaicánFuentes:scopusOptimization of an Analysis Method for Diabetes Prediction Using Classical and Ensemble Machine Learning Techniques
OtherAbstract: Nowadays, diabetes has become a prevalent and significant illness worldwide, causing harm to the cirPalabras claves:Cross-Validation, decision tree, Diabetes prediction, logistic regression, Machine Learning, Neural network, random forest, XGBoostAutores:Berenice Arguero, F. Naranjo E. Edison, Remigio Hurtado OrtizFuentes:scopusHybrid Machine Learning Models for Driver Fatigue Detection Using EEG and EOG Signals
OtherAbstract: Driver fatigue is one of the leading causes of road accidents worldwide, affecting concentration, rePalabras claves:EEG, EOG, Fatigue detection, LSTM, Machine Learning, random forestAutores:Carlos Carranco, Dominguez J., Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:scopusRevolutionizing Parkinson’s Disease Diagnosis: An Advanced Data Science and Machine Learning Architecture
OtherAbstract: The presence of speech impairment during the early stages of Parkinson’s disease has motivated severPalabras claves:data science, Machine Learning, multi-layer perceptron neural network, Parkinson's Disease, random forest, Support Vector Machine, Vocal disorderAutores:Esteban Gustavo Novillo Quinde, María José Montesdeoca González, Remigio Hurtado OrtizFuentes:scopusRecurrent Neural Networks and Machine Learning Models Applied in Sign Language Recognition
OtherAbstract: This research is dedicated to promoting the inclusion of individuals with hearing disabilities, addrPalabras claves:data science, Machine Learning, random forest, RF with DataAugm, rnn, RNN with DataAugm, Sign Language, VotingAutores:Esteban Gustavo Novillo Quinde, John Santiago Llivicota Leon, Juan Pablo Saldaña Torres, Michael Andres Alvarez Valdez, Remigio Hurtado OrtizFuentes:scopusMachine Learning Models Applied in Sign Language Recognition
OtherAbstract: One of the most relevant worldwide problems is the inclusion of people with disabilities. In this rePalabras claves:data science, Machine Learning, Neural network, random forest, Sign Language, Vector Support MachineAutores:Esteban Gustavo Novillo Quinde, John Santiago Leon Llivicota, Juan Pablo Torres Saldaña, Michael Andres Valdez Alvarez, Remigio Hurtado OrtizFuentes:scopusNew Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques
OtherAbstract: Breast cancer is one of the most common types of cancer in women, and its early detection significanPalabras claves:Breast Cancer Diagnosis, convolutional neural networks, data science, FP-Growth, Machine Learning, Medical image analysis, random forest, Support Vector Machine, Transfer learningAutores:John Sanmartín, Paulina Azuero, Remigio Hurtado OrtizFuentes:scopus