Combining binomial test data via two‐stage solutions
Sign Up to like & getrecommendations! Published in 2018 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2255
Abstract: A commonly occurring problem in reliability testing is how to combine pass/fail test data that is collected from disparate environments. We have worked with colleagues in aerospace engineering for a number of years where two… read more here.
Keywords: data via; test data; via two; binomial test ... See more keywords
Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems
Sign Up to like & getrecommendations! Published in 2020 at "Building and Environment"
DOI: 10.1016/j.buildenv.2020.107135
Abstract: Abstract Missing data represents a common problem in environmental and building-related processes, especially in the indoor air quality (IAQ) system of subway stations, where the collected information leads to actions in ventilation management. For these… read more here.
Keywords: data via; ventilation management; management; air quality ... See more keywords
Screening Polarimetric SAR Data via Geometric Barycenters for Covariance Symmetry Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3250741
Abstract: This letter proposes a robust framework for polarimetric covariance symmetries classification in synthetic aperture radar (SAR) images applying a prescreening on the data looks before they are used to perform inferences. More specifically, the devised… read more here.
Keywords: polarimetric sar; sar data; geometric barycenters; screening polarimetric ... See more keywords
Model-based clustering of high-dimensional longitudinal data via regularization.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13672
Abstract: We propose a model-based clustering method for high-dimensional longitudinal data via regularization in this paper. This study was motivated by the Trial of Activity in Adolescent Girls, which aimed to examine multi-level factors related to… read more here.
Keywords: based clustering; longitudinal data; dimensional longitudinal; high dimensional ... See more keywords
Exploring Multi‐dimensional Data via Subset Embedding
Sign Up to like & getrecommendations! Published in 2021 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14290
Abstract: Multi‐dimensional data exploration is a classic research topic in visualization. Most existing approaches are designed for identifying record patterns in dimensional space or subspace. In this paper, we propose a visual analytics approach to exploring… read more here.
Keywords: data via; exploring multi; multi dimensional; dimensional data ... See more keywords