Zobrazeno 1 - 10
of 69 072
pro vyhledávání: '"A, Sing"'
Autor:
Müller, Tom David, Siraj, Arslan, Walter, Axel, Kim, Jihyung, Wein, Samuel, von Kleist, Johannes, Feroz, Ayesha, Pilz, Matteo, Jeong, Kyowon, Sing, Justin Cyril, Charkow, Joshua, Röst, Hannes Luc, Sachsenberg, Timo
Liquid Chromatography Mass Spectrometry (LC-MS) is an indispensable analytical technique in proteomics, metabolomics, and other life sciences. While OpenMS provides advanced open-source software for MS data analysis, its complexity can be challenging
Externí odkaz:
http://arxiv.org/abs/2411.13189
Graphs inherently capture dependencies between nodes or variables through their topological structure, with paths between any two nodes indicating a sequential dependency on the nodes traversed. Message Passing Neural Networks (MPNNs) leverage these
Externí odkaz:
http://arxiv.org/abs/2411.12052
Reliable re-identification of individuals within large wildlife populations is crucial for biological studies, ecological research, and wildlife conservation. Classic computer vision techniques offer a promising direction for Animal Re-identification
Externí odkaz:
http://arxiv.org/abs/2410.22927
Autor:
Muoi, Bui Ngoc, Sze, Nung-Sing
Entanglement breaking (EB) channels, as completely positive and trace-preserving linear operators, sever the entanglement between the input system and other systems. In the realm of infinite-dimensional systems, a related concept known as strongly en
Externí odkaz:
http://arxiv.org/abs/2410.19270
A primary goal of characterizing exoplanet atmospheres is to constrain planetary bulk properties, such as their metallicity, C/O ratio, and intrinsic heat. However, there are significant uncertainties in many aspects of atmospheric physics, such as t
Externí odkaz:
http://arxiv.org/abs/2410.17169
Knowledge transfer in multi-task learning is typically viewed as a dichotomy; positive transfer, which improves the performance of all tasks, or negative transfer, which hinders the performance of all tasks. In this paper, we investigate the understu
Externí odkaz:
http://arxiv.org/abs/2410.15875
Autor:
Bennett, Katherine A., Sing, David K., Stevenson, Kevin B., Wakeford, Hannah R., Rustamkulov, Zafar, Allen, Natalie H., Lothringer, Joshua D., MacDonald, Ryan J., Mayne, Nathan J., Fu, Guangwei
Which rocky exoplanets have atmospheres, and which do not? This presumably simply question is the first that must be answered in the pathway toward understanding the prevalence of nearby habitable planets. A mere 6.9 pc from Earth, the LTT 1445A syst
Externí odkaz:
http://arxiv.org/abs/2410.11054
Autor:
Saunders, Nicholas, Grunblatt, Samuel K., Huber, Daniel, Ong, J. M. Joel, Schlaufman, Kevin C., Hey, Daniel, Li, Yaguang, Butler, R. P., Crane, Jeffrey D., Shectman, Steve, Teske, Johanna K., Quinn, Samuel N., Yee, Samuel W., Brahm, Rafael, Trifonov, Trifon, Jordán, Andrés, Henning, Thomas, Sing, David K., MacGregor, Meredith, Page, Emma, Rapetti, David, Falk, Ben, Levine, Alan M., Huang, Chelsea X., Lund, Michael B., Ricker, George R., Seager, S., Winn, Joshua N., Jenkins, Jon M.
We present the discovery of TOI-7041 b (TIC 201175570 b), a hot Saturn transiting a red giant star with measurable stellar oscillations. We observe solar-like oscillations in TOI-7041 with a frequency of maximum power of $\nu_{\rm max} = 218.50\pm2.2
Externí odkaz:
http://arxiv.org/abs/2410.11037
Autor:
Ashtari, Reza, Stevenson, Kevin B., Sing, David, Lopez-Morales, Mercedes, Alam, Munazza K., Nikolov, Nikolay K., Evans-Soma, Thomas M.
Producing optimized and accurate transmission spectra of exoplanets from telescope data has traditionally been a manual and labor-intensive procedure. Here we present the results of the first attempt to improve and standardize this procedure using ar
Externí odkaz:
http://arxiv.org/abs/2410.06804
Autor:
Wang, Di, Hu, Yidan, Lee, Eng Sing, Teong, Hui Hwang, Lai, Ray Tian Rui, Hoi, Wai Han, Miao, Chunyan
Early detection of chronic diseases is beneficial to healthcare by providing a golden opportunity for timely interventions. Although numerous prior studies have successfully used machine learning (ML) models for disease diagnoses, they highly rely on
Externí odkaz:
http://arxiv.org/abs/2410.03386