Results 61 to 70 of about 25,267,562 (240)
Sensors, 2023 This paper presents the design, optimization, and calibration of multivariable resonators for microwave dielectric sensors. An optimization technique for the circular complementary split ring resonator (CC-SRR) and square complementary split ring ...
Tanveerul Haq, Slawomir Koziel
doaj +1 more source
Multiscale Stuart-Landau Emulators: Application to Wind-Driven Ocean Gyres
Fluids, 2018 The multiscale variability of the ocean circulation due to its nonlinear dynamics remains a big challenge for theoretical understanding and practical ocean modeling.
Dmitri Kondrashov +2 more
doaj +1 more source
Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations
Remote Sensing, 2021 Modern remote-sensing retrievals often invoke a Bayesian approach to infer atmospheric properties from observed radiances. In this approach, plausible mean states and variability for the quantities of interest are encoded in a prior distribution.
Jonathan Hobbs +5 more
doaj +1 more source
Online semi-parametric learning for inverse dynamics modeling
, 2016 This paper presents a semi-parametric algorithm for online learning of a robot inverse dynamics model. It combines the strength of the parametric and non-parametric modeling.
Camoriano, Raffaello +3 more
core +1 more source
Integrating physics-based models with sensor data: An inverse modeling approach
Building and Environment, 2019 Physics-based building energy models (e.g., EnergyPlus) rely on some unknown input parameters (e.g., zone air infiltration) that are hard to measure, leading to uncertainty in simulation results especially for existing buildings with varying operating ...
Tianzhen Hong, Sang Hoon Lee
semanticscholar +1 more source
Remote Sensing, 2018 L-band radiometer measurements were performed at the Selhausen remote sensing field laboratory (Germany) over the entire growing season of a winter wheat stand.
Thomas Meyer +3 more
doaj +1 more source
Semivariogram methods for modeling Whittle-Mat\'ern priors in Bayesian inverse problems
, 2020 We present a new technique, based on semivariogram methodology, for obtaining point estimates for use in prior modeling for solving Bayesian inverse problems.
Bardsley, Johnathan M. +2 more
core +1 more source
, 2023 All the Python codes and data to reproduce the results of 'Groundwater inverse modeling: physics-informed neural network with separable constraints and errors'.
openaire +1 more source
Civil Engineering Journal, 2019 A new intelligent hybrid method for inverse modeling (Parameter Identification) of leakage from the body and foundation of earth dams considering transient flow model has been presented in this paper.
S. VaeziNejad, S. Marandi, E. Salajegheh
semanticscholar +1 more source
Atmosphere, 2016 Observational constraints to biomass burning (BB) NOx emissions as provided by satellite measurements of nitrogen dioxide (NO2) critically depend on quantitative assumptions regarding the atmospheric NOx lifetime.
Evgeny V. Berezin +2 more
doaj +1 more source