Zobrazeno 1 - 10
of 11 065
pro vyhledávání: '"DAVID, JOHN"'
Autor:
Needham, David John, Billingham, John
In the third part of this series of papers, we address the same Cauchy problem that was considered in part 1, namely the nonlocal Fisher-KPP equation in one spatial dimension, $u_t = D u_{xx} + u(1-\phi_T*u)$, where $\phi_T*u$ is a spatial convolutio
Externí odkaz:
http://arxiv.org/abs/2411.15054
This note establishes sharp time-asymptotic algebraic rate bounds for the classical evolution problem of Fujita, but with sublinear rather than superlinear exponent. A transitional stability exponent is identified, which has a simple reciprocity rela
Externí odkaz:
http://arxiv.org/abs/2411.07437
Autor:
Schreck, John, Sha, Yingkai, Chapman, William, Kimpara, Dhamma, Berner, Judith, McGinnis, Seth, Kazadi, Arnold, Sobhani, Negin, Kirk, Ben, Gagne II, David John
Recent advancements in artificial intelligence (AI) for numerical weather prediction (NWP) have significantly transformed atmospheric modeling. AI NWP models outperform traditional physics-based systems, such as the Integrated Forecast System (IFS),
Externí odkaz:
http://arxiv.org/abs/2411.07814
An ensemble post-processing method is developed to improve the probabilistic forecasts of extreme precipitation events across the conterminous United States (CONUS). The method combines a 3-D Vision Transformer (ViT) for bias correction with a Latent
Externí odkaz:
http://arxiv.org/abs/2407.04882
Autor:
Jung, Hyemin, Lee, Seunghyun, Jin, Xiao, Liu, Yifan, Ronningen, Theodore J., Grein, Christoph H., David, John P. R., Krishna, Sanjay
The increasing concentration of greenhouse gases, notably CH4 and CO2, has fueled global temperature increases, intensifying concerns regarding the prevailing climate crisis. Effectively monitoring these gases demands a detector spanning the extended
Externí odkaz:
http://arxiv.org/abs/2406.17562
The use of ML models to predict a user's cognitive state from behavioral data has been studied for various applications which includes predicting the intent to perform selections in VR. We developed a novel technique that uses gaze-based intent model
Externí odkaz:
http://arxiv.org/abs/2404.13829
Autor:
Narkar, Anish S., David-John, Brendan
Video-based eye trackers capture the iris biometric and enable authentication to secure user identity. However, biometric authentication is susceptible to spoofing another user's identity through physical or digital manipulation. The current standard
Externí odkaz:
http://arxiv.org/abs/2404.13827