Results 201 to 210 of about 1,035,375 (308)

Simulation dataset on power and size of Wald, likelihood-ratio, and score test statistics in parametric competing risks models under hybrid censoring. [PDF]

Data Brief
Nurmukhamedova NS.
europepmc   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

Energy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder, Mostafa M. Abdelhafiz, Khizar Shahid, Gunther Brenner   +3 more
wiley   +1 more source

Kolmogorov-Smirnov-type test for dependently double-truncated durations: A copula approach. [PDF]

Lifetime Data Anal
Toparkus AM, Weißbach R.
europepmc   +1 more source

Convergence and Residual Error Analysis of Unsteady MHD Stagnation Flow Over a Cylindrical Surface With Streamline and Isotherm Visualization

Energy Science &Engineering, EarlyView.
The novelty of the current study is that the unsteady MHD Cross nanofluid model is, for the first time, coupled with the melting heat transfer at the stagnation point over a horizontally extended cylinder in a Darcy–Forchheimer porous medium. This work connects complex rheological behaviors and phase‐change phenomena in a unique way, with the only ...
Fahad Maqbul Alamrani, Ebrahem A. Algehyne, Mounirah Areshi, Muhammad Bilal, Mustafa Bayram, Jihad Younis, Anwar Saeed   +6 more
wiley   +1 more source

Fault-tolerant synchronization of quaternion-valued BAM neural networks with time-varying delay subject to multiple-actuator failure. [PDF]

Sci Rep
Jacob J, Dharani S, Sivakumar M.
europepmc   +1 more source

Wall Condensation Heat‐Transfer Prediction for Energy Systems: A Mechanism‐Based Critical Review of Correlations, CFD and Physics‐Informed Models

Energy Science &Engineering, EarlyView.
This critical review integrates wall‐condensation configurations, governing transport mechanisms, modelling approaches, and validation evidence into a unified framework for assessing predictive applicability. The framework supports evidence‐based model selection and preliminary condenser design by considering heat‐transfer area, pressure‐drop ...
Md. Jisan Mahmud, Mihretab Woldetsadik Ossa, Md. Abdus Shabur   +2 more
wiley   +1 more source

How Long does it Take to Train an Elephant Random Walk. [PDF]

J Stat Phys
Fang Z.
europepmc   +1 more source

Reducing Hydrogen Consumption of Hybrid Electric Vehicles Using Differential Flatness Control and Management

Energy Science &Engineering, EarlyView.
A novel Equivalent Energy Management Strategy (EEMS) is proposed to optimize the power allocation for hybrid fuel cell vehicles based on the Red‐tailed hawk algorithm and differential flatness control. The validated methodology uses the New European Driving Cycle.
Motab Turki Almousa, Mohamed Louzazni
wiley   +1 more source

Absolute Negative Mobility of Inertial Active Ornstein-Uhlenbeck Particles in Media with Power-Law Correlated Noise. [PDF]

Entropy (Basel)
Liu S, Suleiman K.
europepmc   +1 more source

Bayesian Multivariate Two‐Stage Volatility‐Return Models (MTS‐VR)

Journal of Forecasting, EarlyView.
ABSTRACT This paper develops a class of models to capture the joint dynamics of asset returns and multivariate volatility. Owing to its two‐stage construction, this class is referred to as the multivariate two‐stage volatility‐return (MTS‐VR) model.
Zhenglyu Huang, Jennifer S. K. Chan, Gareth W. Peters   +2 more
wiley   +1 more source