Results 141 to 150 of about 19,884,535 (281)
Reduced-order, TPWL models for nonlinear CFD
, 2004 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.Includes bibliographical references (p. 75-79).This electronic version was submitted by the student author.
Gratton, David, 1979-
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Reduced-Rank Hidden Markov Models
, 2018 Hsu et al. (2009) recently proposed an ef- ficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighter finite-sample error bound for the case of Reduced-Rank HMMs, i.e., HMMs
Byron Boots (5363804) +2 more
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Molecular Oncology, EarlyView.Enterotoxigenic Bacteroides fragilis is a gut bacterium linked to bowel cancer. We propose that its toxin acts along two routes: at the cell surface, cutting the adhesion protein E‐cadherin and triggering inflammation; and inside the cell, delivered by bacterial vesicles, switching on NOD1 and cancer stem cell programs.
Kangchan Choi +2 more
wiley +1 more source
Multi-fidelity reduced-order surrogate modelling
Proceedings of the Royal Society A: Mathematical, Physical and Engineering SciencesHigh-fidelity numerical simulations of partial differential equations (PDEs) given a restricted computational budget can significantly limit the number of parameter configurations considered and/or time window evaluated.
Paolo Conti +5 more
openaire +5 more sources
PSPICE subcircuits for passive reduced order interconnect models
, 2001 -In this paper, we describe the PSPICE models of CODROM which was introduced as a passive reduced order model of RLCG interconnect ...
Murat Dinç, ] Hw&hp, |nqdu
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FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Parametric Generation of Datasets for the Creation of Reduced Order Models of Rubber-Metal Elements
Journal of Mechanical EngineeringThe work deals with the parametric generation of datasets, which are used for creation of reduced order models (ROM) of rubber-metal elements (RME). First chapter describes the standard development process and advantages of implementing ROM into this ...
Danko Ján +6 more
doaj +1 more source
Reduced-order subscales for POD models
In this work the Reduced-Order Subscales for Proper Orthogonal Decomposition models are presented. The basic idea consists in splitting the full-order solution into the part which can be captured by the reduced-order model and the part which cannot, the ...
Baiges Aznar, Joan +2 more
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Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
FEBS Open Bio, EarlyView.Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source
Error estimation for reduced-order models of dynamical systems
, 2005 . The use of reduced-order models to describe a dynamical system is pervasive in science and engineering. Often these models are used without an estimate of their error or range of validity.
Chris Homescu +2 more
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