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Abstract In order to address health monitoring issues on offshore wind turbines, while taking into account engineering know-how and constraints, we propose a robust model identification procedure based on reliability of ...

Short-term wind speed forecasting remains challenging due to the inherent nonstationarity and multiscale variability of atmospheric processes. This study proposes a hybrid multiscale forecasting framework combining four-...

With the rapid expansion of transport infrastructure into complex mountainous terrain, bridge-tunnel connecting sections (BTCSs) have emerged as a common yet distinct configuration characterized by high bridge-to-tunnel ...

ABSTRACT Atomic‐scale control of oxide–ferromagnet interfaces is crucial for optimizing spintronic heterostructures, yet interfacial oxygen remains difficult to control and verify. Here, we deterministically tune the...

Driven by satellite remote sensing observations, deep learning models provide a promising solution for the rapid estimation of subsurface thermohaline structures. By learning from large-scale paired surface–subsur...

Abstract This study investigates the influence of graphene nanoparticle (GNP) reinforcement on the fatigue behavior of textile structural composites with unidirectional (UD), two-dimensional (2D) satin, and three-dimensi...

Skin lesion segmentation poses a challenging problem in medical image analysis, with segmentation performance being highly sensitive to blurred boundaries, noise interference, and morphological diversity. To address thes...