Abstract: In recent years, following the development of sensor and computer techniques, it is favored by many fields, i.e. automatic drive, intelligent home, etc., which the deep learning based ...
Abstract: Flash point (FP) critically determines the fire safety of transformer oils, yet ester-based oils, the sustainable alternative to mineral oils, face a critical trade-off between FP ...
Abstract: This work explores advanced data structures as a means of optimizing algorithmic efficiency in high-performance computing. The search for faster and more scalable algorithms becomes ...
Abstract: Accurate extraction of tunnel lining is crucial for deformation monitoring, damage detection, and tunnel modeling. However, the extraction of tunnel lining is still challenging due to the ...
Abstract: Structure-from-Motion (SfM) is the task of estimating 3D structure and camera poses from images. We define Collaborative SfM (ColabSfM) as sharing distributed SfM reconstructions. Sharing ...
At Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences, Yongtao Liu is building AI-driven “closed-loop” ...
How AI foundation models trained on DNA could transform plant biology ...
CNN senior data correspondent Harry Enten was stunned by a whopping 71-point swing against President Donald Trump among independents on the cost of living, calling it a “political nightmare waiting to ...
Abstract: This article presents VirTeach, the exploitation of using the virtual point cloud (VPC) as an assisted teacher in the learning process for human pose estimation incorporated with the ...
A methodological change contributed to a better-than-expected inflation report, prompting questions from some economists. By Ben Casselman An obscure methodological change lowered a key measure of ...
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