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Aplicación de técnicas de análisis de regresión y aprendizaje automático para la estimación de sobre dilución en el método de Sub Level Stoping - Compañía Minera Condestable
(Universidad Peruana de Ciencias Aplicadas (UPC)PE, 2021-03-20)
El presente trabajo de investigación tiene como objetivo aplicar técnicas de análisis de regresión y aprendizaje automático (ML) para mejorar los resultados de estimación de sobre dilución en tajos explotados por el método ...
EEG Channel Selection for Person Identification Using Binary Grey Wolf Optimizer
(2022-01-01)
Electroencephalogram signals (EEG) have provided biometric identification systems with great capabilities. Several studies have shown that EEG introduces unique and universal features besides specific strength against ...
Algoritmos online baseados em vetores suporte para regressão clássica e ortogonal
(Universidade Federal de Juiz de Fora (UFJF)BrasilICE – Instituto de Ciências ExatasPrograma de Pós-graduação em Ciência da ComputaçãoUFJF, 2017)
A model updating strategy for predicting time series with seasonal patterns
(ELSEVIER, 2010)
Traditional methodologies for time series prediction take the series to be predicted and split it into Q1
training, validation, and test sets. The first one serves to construct forecasting models, the second set for
model ...
Identification of significative lidar metrics and comparison of machine learning approaches for estimating stand and diversity variables in heterogeneous brazilian atlantic forest
(2021-07-01)
Data collection and estimation of variables that describe the structure of tropical forests, diversity, and richness of tree species are challenging tasks. Light detection and ranging (LiDAR) is a powerful technique due ...
Genomic-enabled prediction with classification algorithms
(Springer Nature, 2019)