Utilizing deep learning algorithms and artificial neural networks to forecast the viscosity, thermal conductivity, and electrical conductivity of Fe<sub>3</sub>O<sub>4</sub>/TiO<sub>2</sub> magnetic hybrid nanofluid. [PDF]
Jebur SK +6 more
europepmc +1 more source
ABSTRACT Risk‐based approaches to regulatory governance are ubiquitous. One aspect of such approaches suggests regulators direct their attention towards companies that have already violated regulations. However, such approaches have made little use of available data to explore these companies, especially compared to companies that do not transgress ...
Ben Hunter
wiley +1 more source
A Diagnostic Procedure for Identifying Isotherm Models in Liquid Chromatography. [PDF]
Katsoulas K +3 more
europepmc +1 more source
ABSTRACT What motivates US‐based environmental nongovernmental organizations (ENGOs) to incorporate social justice (SJ) into their missions and activities? How does this integration occur? ENGOs could integrate SJ issues that speak directly to their environmental mission or address non‐environmental topics, such as police reform.
Elizabeth Echavarría +3 more
wiley +1 more source
Some generalized recurrence relations for nonlinear equations by using decomposition technique with application of fractal geometry. [PDF]
Shah FA +3 more
europepmc +1 more source
Likelihood Estimation for Stochastic Differential Equations with Mixed Effects
ABSTRACT Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. When time series are observed for several experimental units, it is often the case that some of the parameters vary between the individual experimental units.
Fernando Baltazar‐Larios +2 more
wiley +1 more source
Hybrid meta heuristic and fuzzy impedance method for fast fault location in power system lines. [PDF]
Najafzadeh M +4 more
europepmc +1 more source
Repelled Point Processes With Application to Numerical Integration
ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat +3 more
wiley +1 more source
Quantitative Characterization of Tensile Strength for Carburized Materials Using a Novel Composite Strength Method. [PDF]
Wang H +5 more
europepmc +1 more source
Bayesian Inference for Multivariate Monotone Densities
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source

