Found 8 document(s)
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Neural mapping schemes have become appealing approaches to deliver gap-free satellite-derived products for sea surface tracers. The generalization performance of these learningbased approaches naturally arises as a key c...
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In this paper we present a new strategy to model the subgrid-scale scalar flux in a three-dimensional turbulent incompressible flow using physics-informed neural networks (NNs). When trained from direct numerical simulat...
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This paper addresses the data-driven identification of latent dynamical representations of partially-observed systems, i.e., dynamical systems for which some components are never observed, with an emphasis on forecasting...
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European flounder (Platychthys flesus) life history patterns were investigated at three locations along a latitudinal gradient (Minho- N-Portugal, Gironde- SW-France, Seine- N-France). We used coupled Sr:Ca and Ba:Ca oto...
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This paper deals with the analysis of images of biological tissue that involves ring structures, such as tree trunks, bivalve seashells or fish otoliths, with a view to automating the acquisition of age and growth data. ...
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A new registration method for ultrasound volumes relying on on a statistical texture-based similarity measure is investigated. Texture information is given by spatial Gabor filters and represented by statistical kernel-b...
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A new approach for motion characterization in image sequences is presented. It relies on the probabilistic modeling of temporal and scale co-occurrence distributions of local motion-related measurements directly computed...