There will be light rail cars running on a mile-long track of the Purple Line in Maryland as “dynamic testing” begins. The testing will be adjacent to the project’s operations and maintenance facility ...
Abstract: Software testing is an essential yet costly phase of the software development lifecycle. While machine learning-based test suite optimization techniques have shown promise in reducing ...
Liquefaction poses a significant threat to infrastructure even in low-magnitude earthquakes. Soil liquefaction susceptibility was assessed through a multifaceted approach, considering historical ...
Abstract: Distribution shifts, which often occur in the real world, degrade the accuracy of deep learning systems, and thus improving robustness to distribution shifts is essential for practical ...
This is the official implementation for Test-time Dynamic Image Fusion (NeurIPS 2024) by Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, and Qinghua Hu. The inherent challenge of image fusion lies in ...
Wang et al. (see also Wang et al., 2024 for corrigendum) investigated the relationship between patient-reported visual disturbances (e.g., glare, halos, starbursts, double vision, ghosting) and ...
Security Testing involves evaluating a software product in order to identify any flaws and gaps from a security and vulnerability point of view [Singh, 2019]. In order to identify these ...
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