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Boutros El Hajj, Bruno Castanier, Franck Schoefs and Emilio Bastidas-Arteaga
The objective of this paper is to propose tools for the lifecycle management of infrastructure by showing the slow degradation processes for which inspection data are accessible, especially the data obtained from non-destructive testing (NDT) and structu...
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Eduardo Medeiros, Leonel Corado, Luís Rato, Paulo Quaresma and Pedro Salgueiro
Automatic speech recognition (ASR), commonly known as speech-to-text, is the process of transcribing audio recordings into text, i.e., transforming speech into the respective sequence of words. This paper presents a deep learning ASR system optimization ...
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Lorenzo Ridolfi, David Naseh, Swapnil Sadashiv Shinde and Daniele Tarchi
With the advent of 6G technology, the proliferation of interconnected devices necessitates a robust, fully connected intelligence network. Federated Learning (FL) stands as a key distributed learning technique, showing promise in recent advancements. How...
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Bing Liang, Guoqing Shi, Zhonggen Sun, Yuelin Wang, Bosen Zhang, Yuangang Xu and Yingping Dong
Energy transition is a major structural change in the whole social system, and the energy system must be changed globally to replace fossil fuels. Hydropower is one of the largest sources of renewable energy in the world. However, owing to the constructi...
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Zhimin Yang, Xiangzhao Yan, Yutong Tian, Zaohong Pu, Yihan Wang, Chunhui Li, Yujun Yi, Xuan Wang and Qiang Liu
The issue of sudden water pollution resulting from accidents is a challenging environmental problem to address. The frequency of transport accidents involving hazardous materials over tributary bridges is steadily rising due to rapid industrialization an...
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