Results 291 to 300 of about 1,270,069 (328)

Compositional Acclimation Can Lessen Tropical Forest Change in Response to Increasing Lightning Frequency: Insights From Simulation Modeling. [PDF]

Glob Chang Biol
Medvigy D, Gora EM, Yanoviak SP.
europepmc   +1 more source

Gaussian Process-Based Multi-Fidelity Bayesian Optimization for Optimal Calibration Point Selection. [PDF]

Sensors (Basel)
Zhuo H, Ma J, Yang M, Zhao Y, Yao L, Xu Y, Yang K.   +6 more
europepmc   +1 more source

Inverse solution of process parameters in gear grinding using hierarchical bayesian physics informed neural network (HBPINN). [PDF]

Sci Rep
Zhang Q, Zhang Q, Zhao Y, Liu Y, Wang Z, Ma Y.   +5 more
europepmc   +1 more source

Automatic forward model parameterization with Bayesian inference of conformational populations. [PDF]

APL Mach Learn
Raddi RM, Marshall T, Voelz VA.
europepmc   +1 more source

The agentic age of predictive chemical kinetics. [PDF]

Chem Sci
Grinberg Dana A.
europepmc   +1 more source

Blind Received Signal Strength Difference Based Source Localization with System Parameter Error and Sensor Position Uncertainty

, 2014
Hannan Lohrasbipeydeh
openalex   +1 more source

Enhancing Relative Permeability Uncertainty Quantification via Sensitivity-Based Parameter Reduction in Unsteady-State Core Flooding Simulations

F. da Silva, Gianfranco Stieven, EMELY DA SILVA ASSIS, Caroline Dias, André Luiz Martins Compan, Paulo Couto   +5 more
openalex   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Reserves Uncertainty Calculation Accounting for Parameter Uncertainty

Canadian International Petroleum Conference, 2007
Abstract An important goal of geostatistical modeling is to assess output uncertainty after processing realizations through a transfer function, in particular, to assess the uncertainty in the recoverable reserves.
O. Babak, C.V. Deutsch
openaire   +1 more source

Reducing Hydrologic Parameter Uncertainty

Journal of the Water Resources Planning and Management Division, 1981
A methodology is introduced that can be used in hydrologic frequency analysis to reduce the parameter uncertainty. The methodology consists of developing generalized values of the parameters (mean, standard deviation, and skewness) through the use of a weighting procedure between sample and regionalized statistics.
Tung, Yeou-Koung, Mays, L.W.
openaire   +1 more source