GI-MODES - Artigos: Envíos recentes
Mostrando ítems 11-15 de 141
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Bootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency
(Elsevier, 2023-11)[Abtract]: An automated methodology is proposed to identify anomalies in buildings’ HVAC systems, through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to obtain a rule from its score distribution. ... -
Latency function estimation under the mixture cure model when the cure status is available
(Springer, 2023-03)[Abstract]: This paper addresses the problem of estimating the conditional survival function of the lifetime of the subjects experiencing the event (latency) in themixture curemodel when the cure status information is ... -
Functional extensions of Mandel's h and k statistics for outlier detection in interlaboratory studies
(Elsevier B.V., 2018-05-15)[Abstract]: Functional data analysis (FDA) alternatives, based on the classical Mandel h and k statistics, are proposed to identify the laboratories that supply inconsistent results in interlaboratory studies (ILS). ILS ... -
3D Point Cloud Semantic Segmentation Through Functional Data Analysis
(Springer, 2023)[Abstract]: Here, we propose a method for the semantic segmentation of 3D point clouds based on functional data analysis. For each point of a training set, a number of handcrafted features representing the local geometry ... -
Control y detección de anomalías de confort térmico y eficiencia energética en edificios a partir de variables autocorreladas
(Sociedad Española de Estadística e Investigación Operativa, 2023)[Resumen]: En este trabajo se presenta, de una forma intuitiva, paso por paso, la metodología propuesta en el artículo “Assessing thermal comfort and energy efficiency in buildings by statistical quality control for ...