Mostrando 4 resultados de: 4
Filtros aplicados
Publisher
EAI Endorsed Transactions on Energy Web(1)
GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion(1)
Journal of Computational Chemistry(1)
Match(1)
Área temáticas
Ciencias de la computación(3)
Dirección general(1)
Otras ramas de la ingeniería(1)
Probabilidades y matemática aplicada(1)
Objetivos de Desarrollo Sostenible
ODS 9: Industria, innovación e infraestructura(4)
ODS 17: Alianzas para lograr los objetivos(2)
ODS 3: Salud y bienestar(2)
ODS 12: Producción y consumo responsables(1)
ODS 13: Acción por el clima(1)
Origen
scopus(4)
Applying some EDAs and hybrid variants to the ERM problem under uncertainty
Conference ObjectAbstract: The Energy Resource Management (ERM) under uncertainty of a smartgrid is a highly complex problem (aPalabras claves:cellular estimation distribution algorithms, Evolutionary computation, Hybrid techniques, smart grids, uncertain environmentsAutores:Mayedo M.B., Moya A., Quintana J.M., Rodríguez-González A.Y., Santiago O.M., Yoan Martínez LópezFuentes:scopusExtending graph (discrete) derivative descriptors to N-tuple atom-relations
ArticleAbstract: In the present manuscript, an extension of the previously defined Graph Derivative Indices (GDIs) isPalabras claves:Autores:Cabrera R.M., De León J.O.G., Martínez L.M.A., Pérez-Giménez F., Santiago O.M., Stephen Jones Barigye, Torrens F., Yoan Martínez López, Yovani Marrero-PonceFuentes:scopusRelations frequency hypermatrices in mutual, conditional and joint entropy-based information indices
ArticleAbstract: Graph-theoretic matrix representations constitute the most popular and significant source of topologPalabras claves:2-Furylethylene derivative, hypermatrix, Information index, physico-chemical property, QSPR study, relations frequency matrix, Variability analysisAutores:Artiles-Martínez L.M., Oscar Martínez Santiago, Pino-Urias R.W., Stephen Jones Barigye, Torrens F., Yoan Martínez López, Yovani Marrero-PonceFuentes:scopusOver-sampling imbalanced datasets using the covariance matrix
ArticleAbstract: INTRODUCTION: Nowadays, many machine learning tasks involve learning from imbalanced datasets, leadiPalabras claves:Attribute dependency, Covariance matrix, Imbalanced datasets, OversamplingAutores:Hernández-Nieto J.C., Leguen-de Varona I., Quintana J.M., Yoan Martínez LópezFuentes:scopus