Results 231 to 240 of about 269,671 (328)

Enhancing Wind Turbine Performance With Transformer‐Based Predictive Control and Quantum‐Inspired Optimization: A Novel Hybrid Model for Power Prediction and Control

open access: yesEngineering Reports, Volume 8, Issue 5, May 2026.
This work introduces an integrated Transformer‐based Predictive Control and Quantum‐Inspired Optimization framework that significantly boosts wind turbine performance. The approach improves power‐output prediction accuracy and enhances turbine efficiency, stress reduction, and operational reliability, offering an adaptive and intelligent control ...
PengCheng Liu   +4 more
wiley   +1 more source

Accelerating Full‐Wave Antenna Optimization: An Adaptive Surrogate‐Assisted Differential Evolution Framework

open access: yesEngineering Reports, Volume 8, Issue 5, May 2026.
An adaptive surrogate‐assisted differential evolution framework integrates machine learning‐based surrogate modeling with selective full‐wave electromagnetic validation to accelerate antenna optimization. A CST–Python workflow combines Latin‐hypercube sampling, cross‐validated model selection, and iterative dataset refinement to guide the search toward
Muhammad Farooq   +3 more
wiley   +1 more source

Enhancing tensile strength of 3D-printed wood-PLA composites via a particle swarm optimization framework. [PDF]

open access: yesPLoS One
Bhattacharjee B   +7 more
europepmc   +1 more source

Numerical Simulation of Post‐Yield Hysteretic Behavior of Lap‐Spliced Reinforced Concrete Bridge Pier Walls Under Earthquake Loading

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 6, Page 1356-1376, May 2026.
ABSTRACT Reinforced concrete pier walls designed before the 1970s often incorporate lap splice in potential plastic‐hinge regions. Previous experimental tests indicate that most of pier walls experienced post‐yield lap splice failure, necessitating a modeling approach that captures not only lap splice strength but also deformation capacity.
Gun Chan Lee   +2 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

open access: yesEnergy Science &Engineering, Volume 14, Issue 5, Page 2514-2538, May 2026.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan   +8 more
wiley   +1 more source

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