Zobrazeno 1 - 10
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pro vyhledávání: '"Louise Were"'
The maintenance of sewerage networks, with their millions of kilometers of pipe, heavily relies on efficient Closed-Circuit Television (CCTV) inspections. Many promising approaches based on multi-label image classification have leveraged databases of
Externí odkaz:
http://arxiv.org/abs/2410.07689
Autor:
Simson, Walter, Zhuang, Louise, Frey, Benjamin N., Sanabria, Sergio J., Dahl, Jeremy J., Hyun, Dongwoon
Wavefield imaging reconstructs physical properties from wavefield measurements across an aperture, using modalities like radar, optics, sonar, seismic, and ultrasound imaging. Propagation of a wavefront from unknown sources through heterogeneous medi
Externí odkaz:
http://arxiv.org/abs/2410.03008
Autor:
Mahjoub, Omayma, Abramowitz, Sasha, de Kock, Ruan, Khlifi, Wiem, Toit, Simon du, Daniel, Jemma, Nessir, Louay Ben, Beyers, Louise, Formanek, Claude, Clark, Liam, Pretorius, Arnu
As the field of multi-agent reinforcement learning (MARL) progresses towards larger and more complex environments, achieving strong performance while maintaining memory efficiency and scalability to many agents becomes increasingly important. Althoug
Externí odkaz:
http://arxiv.org/abs/2410.01706
Publikováno v:
Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, 2024
The Oven Scheduling Problem (OSP) is an NP-hard real-world parallel batch scheduling problem arising in the semiconductor industry. The objective of the problem is to schedule a set of jobs on ovens while minimizing several factors, namely total oven
Externí odkaz:
http://arxiv.org/abs/2410.01368
The rapid advancement of medical technology has led to an exponential increase in multi-modal medical data, including imaging, genomics, and electronic health records (EHRs). Graph neural networks (GNNs) have been widely used to represent this data d
Externí odkaz:
http://arxiv.org/abs/2410.00944
Publikováno v:
IEEE High Performance Extreme Computing Conference, Waltham, MA, September 2024
This paper investigates the performance of a likelihood ratio test in combination with a polynomial subspace projection approach to detect weak transient signals in broadband array data. Based on previous empirical evidence that a likelihood ratio te
Externí odkaz:
http://arxiv.org/abs/2409.18712
Autor:
Cooke, Ryan J., Welsh, Louise
We report a new, reliable determination of the CN excitation temperature of diffuse molecular clouds in the Milky Way, based on ultra high spectral resolution observations. Our determination is based on CN $B^{2}\Sigma^{+}-X^{2}\Sigma^{+}$ (0,0) vibr
Externí odkaz:
http://arxiv.org/abs/2409.18270
We explore the application of uncertainty quantification methods to agent-based models (ABMs) using a simple sheep and wolf predator-prey model. This work serves as a tutorial on how techniques like emulation can be powerful tools in this context. We
Externí odkaz:
http://arxiv.org/abs/2409.16776
Given a directed graph, the Minimal Feedback Arc Set (FAS) problem asks for a minimal set of arcs in a directed graph, which, when removed, results in an acyclic graph. Equivalently, the FAS problem asks to find an ordering of the vertices that minim
Externí odkaz:
http://arxiv.org/abs/2409.16443
Autor:
Battaglia, Andrea Francesco, Krucker, Säm, Veronig, Astrid M., Stiefel, Muriel Zoë, Warmuth, Alexander, Benz, Arnold O., Ryan, Daniel F., Collier, Hannah, Harra, Louise
In general, large solar flares are more efficient at accelerating high-energy electrons than microflares. Nonetheless, we sometimes observe microflares that accelerate electrons to high energies. We statistically characterize 39 microflares with stri
Externí odkaz:
http://arxiv.org/abs/2409.14466