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Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
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Franz Wagner, Leonie Mester, Sven Klinkel and Hans-Gerd Maas
This study focuses on the development of novel evaluation methods for the analysis of thin carbon reinforced concrete (CRC) structures. CRC allows for the exploration of slender components and innovative construction techniques due to its high tensile st...
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Weijie Huang, Yuanmin Yang, Rui Pang and Mingyuan Jing
Studying the impact of mainshock?aftershock sequences on dam reliability is crucial for effective disaster prevention measures. With this purpose in mind, a new method for stochastic dynamic response analyses and reliability assessments of dams during se...
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Chao Fan, Xiang Que, Zhe Wang and Xiaogang Ma
The urban heat island (UHI) effect is an important topic for many cities across the globe. Previous studies, however, have mostly focused on UHI changes along either the spatial or temporal dimension. A simultaneous evaluation of the spatial and temporal...
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Wael H. Gomaa, Abdelrahman E. Nagib, Mostafa M. Saeed, Abdulmohsen Algarni and Emad Nabil
Automated scoring systems have been revolutionized by natural language processing, enabling the evaluation of students? diverse answers across various academic disciplines. However, this presents a challenge as students? responses may vary significantly ...
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