Results 131 to 140 of about 32,281 (296)
A‐optimal model‐based design of experiments for processes with uncertain inputs
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori +3 more
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall +3 more
wiley +1 more source
Bayesian Estimation of Free Energies From Equilibrium Simulations
Physical Review Letters, 2012 Free energy calculations are an important tool in statistical physics and biomolecular simulation. This Letter outlines a Bayesian method to estimate free energies from equilibrium Monte Carlo simulations. A Gibbs sampler is developed that allows efficient sampling of free energies and the density of states.
openaire +5 more sources
The Canadian Journal of Chemical Engineering, EarlyView.This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Do Sojourn Effects on Personality Trait Changes Last? A Five‐Year Longitudinal Study
European Journal of Personality, EarlyView., 2020 Abstract This study examined sojourners' long‐term personality trait changes over five years, extending previous research on immediate sojourn effects. A sample of German students (N = 1095) was surveyed thrice (T1–T3) over the course of an academic year.
Julia Richter +4 more
wiley +1 more source
Quantum and algorithmic Bayesian mechanisms
Bayesian implementation concerns decision making problems when agents have incomplete information. This paper proposes that the traditional sufficient conditions for Bayesian implementation shall be amended by virtue of a quantum Bayesian mechanism ...
Wu, Haoyang
core
"Implementation and Preference for Honesty" [PDF]
We investigate implementation of social choice functions that map states to lotteries, where agents have preferences not only for consequences but also for 'honesty'.
Hitoshi Matsushima
core
Deep Underground Science and Engineering, EarlyView.This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
Forecasting with a Bayesian DSGE Model: An Application to the Euro Area. NBB Working Paper Nr. 60, September 2004 [PDF]
, 2004 In monetary policy strategies geared towards maintaining price stability conditional and unconditional forecasts of inflation and output play an important role.
Wouters, Raf., Smets, Frank
core
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan +3 more
wiley +1 more source