Estimation of mechanical parameters in cancers by empirical orthogonal function analysis of poroelastography data
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.103343
Abstract: Ultrasound poroelastography is a non-invasive imaging modality that has been shown to be capable of estimating mechanical parameters such as Young's modulus (YM), Poisson's ratio (PR) and vascular permeability (VP) in cancers. However, experimental poroelastographic… read more here.
Keywords: estimation; analysis; orthogonal function; mechanical parameters ... See more keywords
Detection of Oceanographic Fronts on Variable Water Depths Using Empirical Orthogonal Functions
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2019.2917456
Abstract: Oceanographic baroclinic fronts are boundaries between water masses with differences in hydrography. Often the presence of baroclinic fronts coincides with oceanographic currents. The detection of fronts in oceanographic data, e.g., ocean model data, is normally… read more here.
Keywords: orthogonal functions; water; empirical orthogonal; sea surface ... See more keywords
Detection of Decreasing Vegetation Cover Based on Empirical Orthogonal Function and Temporal Unmixing Analysis
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Problems in Engineering"
DOI: 10.1155/2017/5032091
Abstract: Vegetation plays an important role in the energy exchange of the land surface, biogeochemical cycles, and hydrological cycles. MODIS (MODerate-resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) is considered as a quantitative indicator for examining dynamic… read more here.
Keywords: unmixing analysis; orthogonal function; vegetation; temporal unmixing ... See more keywords
Global total electron content prediction performance assessment of the IRI-2016 model based on empirical orthogonal function decomposition
Sign Up to like & getrecommendations! Published in 2020 at "Annales Geophysicae"
DOI: 10.5194/angeo-38-331-2020
Abstract: Abstract. In this study, the empirical orthogonal function (EOF) decomposition technique was utilized to analyze the similarities and differences of the spatiotemporal characteristics between the total electron content (TEC) of the International GNSS Service global… read more here.
Keywords: variation; iri 2016; time; empirical orthogonal ... See more keywords
Various ways of using empirical orthogonal functions for climate model evaluation
Sign Up to like & getrecommendations! Published in 2023 at "Geoscientific Model Development"
DOI: 10.5194/gmd-16-2899-2023
Abstract: Abstract. We present a framework for evaluating multi-model ensembles based on common empirical orthogonal functions (common EOFs) that emphasize salient features connected to spatio-temporal covariance structures embedded in large climate data volumes. This framework enables… read more here.
Keywords: evaluation; common eofs; empirical orthogonal; orthogonal functions ... See more keywords