Results 71 to 80 of about 716,617 (262)
Adaptive Sampling for Learning Gaussian Processes Using Mobile Sensor Networks
Sensors, 2011 This paper presents a novel class of self-organizing sensing agents that adaptively learn an anisotropic, spatio-temporal Gaussian process using noisy measurements and move in order to improve the quality of the estimated covariance function.
Yunfei Xu, Jongeun Choi
doaj +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
Advanced Functional Materials, EarlyView.An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Discriminant analysis of Gaussian spatial data with exponential covariance structure
Lietuvos Matematikos Rinkinys, 2005 This paper considers the discrimination of the observation of the stationary Gaussian random field belonging to one of two populations with different means and covariance functions.
Kęstutis Dučinskas
doaj +3 more sources
LÉVY-BASED ERROR PREDICTION IN CIRCULAR SYSTEMATIC SAMPLING
Image Analysis and Stereology, 2013 In the present paper, Lévy-based error prediction in circular systematic sampling is developed. A model-based statistical setting as in Hobolth and Jensen (2002) is used, but the assumption that the measurement function is Gaussian is relaxed.
Kristjana Ýr Jónsdóttir +1 more
doaj +1 more source
Using force covariance to derive effective stochastic interactions in dissipative particle dynamics
, 2007 There exist methods for determining effective conservative interactions in coarse grained particle based mesoscopic simulations. The resulting models can be used to capture thermal equilibrium behavior, but in the model system we study do not correctly ...
A. D. Gordon +14 more
core +1 more source
Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Advanced Functional Materials, EarlyView.Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source
A Synovium‐on‐Chip Platform to Study Multicellular Interactions in Arthritis
Advanced Healthcare Materials, EarlyView.The Synovium‐on‐Chip comprises a thin microporous PDMS membrane to support co‐culture of fibroblast‐like synoviocytes (FLS), THP‐1‐derived macrophages, and endothelial cells, enabling real‐time analysis of synovial‐vascular interactions. FLS migration through the pores drives endothelial remodeling, while TNF‐α stimulation induces robust inflammatory ...
Laurens R. Spoelstra +8 more
wiley +1 more source
Linear discriminant analysis of spatial Gaussian data with estimated anisotropy ratio
Lietuvos Matematikos Rinkinys, 2011 The paper deals with a problem of classification of Gaussian spatial data into one of two populations specified by different parametric mean models and common geometric anisotropic covariance function.
Lina Dreižienė
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Auto covariance computer [PDF]
, 1985 A laser velocimeter covariance processor which calculates the auto covariance and cross covariance functions for a turbulent flow field based on Poisson sampled measurements in time from a laser velocimeter is described.
Hepner, T. E., Meyers, J. F.
core +1 more source
Advanced Materials, EarlyView.Detecting proteins secreted by a single cell while retaining its viability remains challenging. A particles‐in‐particle (PiPs) system made by co‐encapsulating barcoded microparticles (BMPs) with a single cell inside an alginate hydrogel particle is introduced.
Félix Lussier +10 more
wiley +1 more source