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Sijie Liu, Nan Zhou, Chenchen Song, Geng Chen and Yafeng Wu
This research introduces the Enhanced Scale-Aware efficient Transformer (ESAE-Transformer), a novel and advanced model dedicated to predicting Exhaust Gas Temperature (EGT). The ESAE-Transformer merges the Multi-Head ProbSparse Attention mechanism with t...
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Jing Liu, Zongyu Li, Hanming Huang, Weiwei Lin, Zhilin Sun and Fanjun Chen
In response to the deficiencies in existing bridge pier scour protection technologies, this paper introduces a novel protective device, namely a normal distribution-shaped surface (BND) protection devices formed by rotating a concave normal curve. A thre...
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Thomas Gold, Kevin Reiterer, Christoph Hauer, Helmut Habersack and Christine Sindelar
Periodic flushing operations during moderate flood events (=annual flood flow HQ1" role="presentation">11
1
) are an approach to counteract problems caused by disturbed sediment continuity in rivers, which is possibly an effect of run-of-river hydropower...
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James Marcus Griffin, Steven Jones, Bama Perumal and Carl Perrin
Welding inspection is a critical process that can be severely time-consuming, resulting in productivity delays, especially when destructive or invasive processes are required. This paper defines the novel approach to investigate the physical correlation ...
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Vasile-Adrian Surdu and Romuald Gyorgy
X-ray diffraction (XRD) is a proven, powerful technique for determining the phase composition, structure, and microstructural features of crystalline materials. The use of machine learning (ML) techniques applied to crystalline materials research has inc...
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