Results 161 to 170 of about 1,278 (205)

Genetic Algorithm‐Driven Analysis of Gravitational Water Vortex Power Plant Runner Performance: A Comparative Study Integrating Experimental and Computational Fluid Dynamics

open access: yesEnergy Science &Engineering, EarlyView.
This study integrates genetic algorithm optimization, CFD simulation, and experimental validation to identify the optimal runner geometry for a gravitational water vortex turbine. The combined approach enhances vortex stability and improves energy conversion efficiency, demonstrating strong agreement between predicted and measured performance ...
Zakaria. A. Mwakitwange, Adam Faraji
wiley   +1 more source

Edge‐Based Discretizations on Triangulations in Any Dimension, With Special Attention to Four‐Dimensional Space

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This article provides important geometric formulas for node‐centered, edge‐based schemes in any number of dimensions. These formulas are noteworthy, as they do not require the explicit formation of dual regions. We prove several key geometric results, with a particular focus on the four‐dimensional case, due to potential space‐time applications ...
Nicholas Tufillaro   +2 more
wiley   +1 more source

Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery. [PDF]

open access: yesBioresour Bioprocess
Cai J   +6 more
europepmc   +1 more source

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen   +3 more
wiley   +1 more source

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park   +5 more
wiley   +1 more source

Revisiting the Relationship Between Job Insecurity and Work Engagement: The Moderating Roles of Contract Type and Trait Negative Affectivity

open access: yesHuman Resource Development Quarterly, EarlyView.
ABSTRACT This study proposes and tests a curvilinear effect of job insecurity on work engagement, while also examining the moderating roles of employment contract type (permanent vs. temporary) and trait negative affectivity on this relationship. Utilizing two waves of time‐lagged data from a sample of 397 participants (273 permanent and 124 temporary ...
Hui‐Hsien Hsieh, Kuo‐Yang Kao
wiley   +1 more source

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