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Outlier Detection for Multivariate Time Series: A Functional Data Approach ®
(Elsevier, 2021)
[Abstract] A method for detecting outlier samples in a multivariate time series dataset is proposed. It is assumed that an outlying series is characterized by having been generated from a different process than those ...
Quantile Cross-Spectral Density: A Novel and Effective Tool for Clustering Multivariate Time Series
(Elsevier, 2021)
[Abstract] Clustering of multivariate time series is a central problem in data mining with applications in many fields. Frequently, the clustering target is to identify groups of series generated by the same multivariate ...
Altered pathways in methylome and transcriptome longitudinal analysis of normal weight and bariatric surgery women
(NLM (Medline), 2020-04-15)
[Abstract] DNA methylation could provide a link between environmental, genetic factors and weight control and can modify gene expression pattern. This study aimed to identify genes, which are differentially expressed and ...
Erosive Degradation Study of Concrete Augmented by Mussel Shells for Marine Construction
(MDPI, 2021-10)
[Abstract] This work proposes a green material for artificial reefs to be placed in Galicia (northwest Spain) taking into account the principles of circular economy and sustainability of the ecosystem. New concrete ...
Statistical Quality Control with the qcr Package
(Technische Universitaet Wien, 2021)
[Abstract] The R package qcr for Statistical Quality Control (SQC) is introduced and described. It includes a comprehensive set of univariate and multivariate SQC tools that completes and increases the SQC techniques ...
Constructing a Control Chart Using Functional Data
(MDPI AG, 2020-01-02)
[Abstract] This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain. Companies ...
F4: An All-Purpose Tool for Multivariate Time Series Classification
(MDPI, 2021)
[Abstract] We propose Fast Forest of Flexible Features (F4), a novel approach for classifying multivariate time series, which is aimed to discriminate between underlying generating processes. This goal has barely been ...
A Logistic Approach for Kinetics of Isothermal Pyrolysis of Cellulose
(MDPI, 2021-03)
[Abstract] A kinetic model is proposed to fit isothermal thermogravimetric data obtained from cellulose in an inert atmosphere at different temperatures. The method used here to evaluate the model involves two steps: (1) ...
Modelling Operative and Routine Learning Curves in Manoeuvres in Locks and in Transit in the Expanded Panama Canal
(Cambridge University Press, 2021-05)
[Abstract] Piloting in the Panama Canal is exceptional as, due to its importance, the functions of the captains of vessels are taken over by pilots. Hence, prior to inauguration of the expanded canal, a limited number of ...
On egalitarian values for cooperative games with a priori unions
(Springer & Spanish Society of Statistics and Operations Research, 2020)
[Abstract]: In this paper, we extend the equal division and the equal surplus division values for transferable utility cooperative games to the more general setup of transferable utility cooperative games with a priori ...