Results 141 to 150 of about 14,713 (239)

Heat Transfer Enhancement in the Microscale: Optimization of Fluid Flow

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
Microscale heat transfer deviates from conventional behavior due to scale effects and fluid properties. This review examines single‐phase convection and advanced working fluids, highlighting key mechanisms such as rarefaction, surface effects, and phase interactions, to guide optimized design of high‐performance microchannel heat exchangers.
Md Atiqur Rahman   +6 more
wiley   +1 more source

An Uncertainty‐Aware Digital Twin Framework for Dynamic Cost Prediction and Decision Optimization in Transmission Engineering Projects

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
An uncertainty‐aware digital twin framework is developed to enable dynamic cost prediction and decision optimization for transmission engineering projects. The framework integrates multi‐source project data, including GIS spatial information, BIM engineering models, construction progress, resource utilization, market price fluctuations, and risk event ...
Jiang Fei   +5 more
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

open access: yesIrrigation and Drainage, Volume 75, Issue 4, Page 1574-1591, Otober 2026.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin   +4 more
wiley   +1 more source

Influence of 3D Printing Parameters on ULTEM 9085 Mechanical Properties Using Explainable Machine Learning

open access: yesSPE Polymers, Volume 7, Issue 4, October 2026.
An explainable machine‐learning framework predicts complete stress–strain behavior and key mechanical properties of FFF‐printed ULTEM 9085 from four printing parameters. Extra Trees delivered the most accurate and stable predictions, while SHAP and LIME clarified how each parameter influences material performance.
Md Asif Hasan   +7 more
wiley   +1 more source

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

open access: yesComput Math Methods Med, 2021
Cai XW, Bao YQ, Hu MF, Liu JB, Zhu JM.
europepmc   +1 more source

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