Mostrando 10 resultados de: 14
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Lecture Notes in Networks and Systems(3)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016(1)
6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022(1)
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Transporte(7)
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google(1)
Augmented Data Deep Learning Model to Pbkp_rediction of S&P500 Index: A Case Study Including Data of COVID-19 Period
Conference ObjectAbstract: The forecasting of the financial markets, as the SP500 Index, is an arduous task because their dataPalabras claves:Augmented data, covid-19, DNN, forecasting, S&P500Autores:Carlos Montenegro, Rolando ArmasFuentes:scopusBi-objective evolutionary optimization of level of service in urban transportation based on traffic density
ArticleAbstract: This work investigates levels of service in urban transportation coupling a multi-objective evolutioPalabras claves:evolutionary computing, level of service, multi-objective optimization, sustainable transport systemsAutores:Hernán E. Aguirre, Rolando Armas, Tanaka K.Fuentes:scopusAn effective EA for short term evolution with small population for traffic signal optimization
Conference ObjectAbstract: In this work, we study the effects of mutation operators combined with a varying mutation schedule aPalabras claves:Autores:Daolio F., Hernán E. Aguirre, Rolando Armas, Tanaka K.Fuentes:scopusA Data Analytics Strategy to Identify mHealth Apps Quality Improvements. A Case Study
Conference ObjectAbstract: This study uses a dataset that comes from the employment of the Mobile App Rating Scale (MARS) modelPalabras claves:Genetic Algorithms, MARS, mHealth Apps, Principal ComponentsAutores:Andrés Larco, Carlos Montenegro, Cesar Yanez, Rolando ArmasFuentes:scopusCan the Price of BTC Bitcoin Be Forecast Successfully with NARX Neural Networks?
Conference ObjectAbstract: The cryptocurrency market data is highly noisy and nonlinear and conditioning the effectiveness andPalabras claves:Bitcoin, forecasting, NARX neural networksAutores:Carlos Montenegro, Rolando ArmasFuentes:scopusFine tuning of traffic in our cities with smart panels: The Quito City case study
Conference ObjectAbstract: In this article we work towards the desired future smart city in which IT and knowledge will hopefulPalabras claves:Application, evolutionary algorithm, LED panels, Real world, Road traffic, smart city, Smart mobilityAutores:Alba E., Hernán E. Aguirre, Rolando Armas, Stolfi D., Tanaka K.Fuentes:scopusEvolutionary bi-objective optimization for the electric vehicle charging stand infrastructure problem
Conference ObjectAbstract: This article reports using a bi-objective evolutionary algorithm interacting with a traffic simulatoPalabras claves:bi-objective optimization, electric mobility, Evolutionary algorithms, infrastructure charging station locationAutores:Daniel Orellana, Hernán E. Aguirre, Rolando ArmasFuentes:scopusEvolutionary design optimisation of traffic signals applied to quito city
Book PartAbstract: This chapter applies evolutionary computation and machine learning methods to study the transportatiPalabras claves:Design Optimization, evolutionary algorithm, Machine learning methods, Quito city, Traffic lightsAutores:Daolio F., Hernán E. Aguirre, Rolando Armas, Tanaka K.Fuentes:scopusDistributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions
Conference ObjectAbstract: Quito is a crowded city in Ecuador with several urban mobility issues. These problems are mainly relPalabras claves:-Traffic Flow, GeoSpark-Sim, Microscopic SimulationAutores:Israel Pineda, Julio Ricardo Proaño Orellana PhD, Orellana J.P., Rolando ArmasFuentes:googlescopusEffects of mutation and crossover operators in the optimization of traffic signal parameters
ArticleAbstract: In this work, we analyze crossover and mutation operators for traffic signals optimization aiming toPalabras claves:Autores:Hernán E. Aguirre, Rolando Armas, Tanaka K.Fuentes:scopus