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Baowang Li, Xiaobing Wang, Junqiang Wu, Yang Tao and Neng Xiong
To study the aerodynamic characteristics of the convex structure of a surface-monitoring device on a high-speed train and to evaluate its impact on the aerodynamic performance of the high-speed train, numerical simulation research was conducted on three ...
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Chao Fu, Kuan Lu, Qian Li, Yuandong Xu, Fengshou Gu, Andrew D. Ball and Zhaoli Zheng
The engine system is critical for a marine vehicle, and its performance significantly affects the efficiency and safety of the whole ship. Due to the harsh working environment and the complex system structure, a marine system is prone to have many kinds ...
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Francesco Barchi, Luca Zanatta, Emanuele Parisi, Alessio Burrello, Davide Brunelli, Andrea Bartolini and Andrea Acquaviva
In this work, we present an innovative approach for damage detection of infrastructures on-edge devices, exploiting a brain-inspired algorithm. The proposed solution exploits recurrent spiking neural networks (LSNNs), which are emerging for their theoret...
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Maxime Royon, Damien Jamon, Thomas Blanchet, François Royer, Francis Vocanson, Emmanuel Marin, Adriana Morana, Aziz Boukenter, Youcef Ouerdane, Yves Jourlin, Rolf Evenblij, Thijs Van Leest, Marie-Anne de Smet and Sylvain Girard
The potential of sol?gel-based optical sensors is investigated for applications in the aerospace domain. To this aim, a low-cost and non-intrusive sol?gel sensor based on waveguides, arranged as a 2D matrix structure, is fabricated by UV photolithography...
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Yijun Liao and Richard L. Wood
Perishable surveying, mapping, and post-disaster damage data typically require efficient and rapid field collection techniques. Such datasets permit highly detailed site investigation and characterization of civil infrastructure systems. One of the more ...
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Huan Ning, Zhenlong Li, Michael E. Hodgson and Cuizhen (Susan) Wang
This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to t...
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Anil Dogru, Soufiane Bouarfa, Ridwan Arizar and Reyhan Aydogan
Convolutional Neural Networks combined with autonomous drones are increasingly seen as enablers of partially automating the aircraft maintenance visual inspection process. Such an innovative concept can have a significant impact on aircraft operations. T...
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Mario Soilán, Ana Sánchez-Rodríguez, Pablo del Río-Barral, Carlos Perez-Collazo, Pedro Arias and Belén Riveiro
Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate impact from hazards at different levels (e.g., from increasing extreme events, driven by climate change); or from human-made events such as: accidents, van...
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Ricardo Moreira Vilhena, Márcia Maria dos Anjos Mascarenha, Maurício Martines Sales, Patrícia de Araújo Romão and Marta Pereira da Luz
The impact of wind waves is a process that affect reservoir shorelines, causing economic and environmental damage. The objective of this paper is to analyze the erosive potential of waves generated by winds at the shoreline of a large tropical reservoir ...
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Sathishkumar Samiappan, Lee Hathcock, Gray Turnage, Cary McCraine, Jonathan Pitchford and Robert Moorhead
Wildfires can be beneficial for native vegetation. However, wildfires can impact property values, human safety, and ecosystem function. Resource managers require safe, easy to use, timely, and cost-effective methods for quantifying wildfire damage and re...
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