Zobrazeno 1 - 10
of 72 477
pro vyhledávání: '"A. Malin"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7323-7342 (2024)
A method for differentiating marine oil slicks from radar-dark, low-wind areas in open water using rapid-repeat synthetic aperture radar (SAR) imagery is reported. The study uses data acquired by the airborne NASA unmanned aerial vehicle SAR (UAVSAR)
Externí odkaz:
https://doaj.org/article/c711abd58b314dcc9581e835d939e756
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5488-5501 (2023)
The damping ratio has recently been used to indicate the relative internal oil thickness within oil slicks observed in synthetic aperture radar (SAR) imagery. However, there exists no well-defined and evaluated methodology for calculating the damping
Externí odkaz:
https://doaj.org/article/2a46c182599e4404b8d018fd88f55701
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8870-8883 (2022)
Low backscatter signatures in synthetic aperture radar (SAR) imagery are characteristic to surfaces that are highly smooth and specular reflective of microwave radiation. In the Arctic, these typically represent newly formed sea ice, oil spills, and
Externí odkaz:
https://doaj.org/article/0ac91cb2eec042a2b926c27ed61f0ccc
Autor:
Behrens, Mark, Malin, Connor
We survey the role of Lie algebras in the study of unstable homotopy groups.
Comment: 16 pages
Comment: 16 pages
Externí odkaz:
http://arxiv.org/abs/2410.18330
Autor:
Venner, Alexander, Limbach, Mary Anne, Mâlin, Mathilde, Blouin, Simon, Boccaletti, Anthony, Pearce, Logan A.
We present the unplanned detection of a white dwarf companion to the star HD 218261 in mid-infrared (10-16 $\mu$m) observations with JWST/MIRI. This star was observed as a calibrator for coronagraphic observations of the exoplanet host HR 8799. HD 21
Externí odkaz:
http://arxiv.org/abs/2410.11568
Autor:
Li, Zhuohang, Zhang, Jiaxin, Yan, Chao, Das, Kamalika, Kumar, Sricharan, Kantarcioglu, Murat, Malin, Bradley A.
Language models (LMs) are known to suffer from hallucinations and misinformation. Retrieval augmented generation (RAG) that retrieves verifiable information from an external knowledge corpus to complement the parametric knowledge in LMs provides a ta
Externí odkaz:
http://arxiv.org/abs/2410.08320
Autor:
Zhang, Tao, Venkatesaraman, Rajagopal, De, Rajat K., Malin, Bradley A., Vorobeychik, Yevgeniy
An ability to share data, even in aggregated form, is critical to advancing both conventional and data science. However, insofar as such datasets are comprised of individuals, their membership in these datasets is often viewed as sensitive, with memb
Externí odkaz:
http://arxiv.org/abs/2410.07414
Autor:
Forsström, Malin P.
Several recent papers have studied the decay rate of the expectation of Wilson loop and Wilson line observables in lattice gauge theory and the lattice Higgs model. These results have all been perturbative in the sense that the parameters need to sca
Externí odkaz:
http://arxiv.org/abs/2409.20085
Autor:
Idnay, Betina, Xu, Zihan, Adams, William G., Adibuzzaman, Mohammad, Anderson, Nicholas R., Bahroos, Neil, Bell, Douglas S., Bumgardner, Cody, Campion, Thomas, Castro, Mario, Cimino, James J., Cohen, I. Glenn, Dorr, David, Elkin, Peter L, Fan, Jungwei W., Ferris, Todd, Foran, David J., Hanauer, David, Hogarth, Mike, Huang, Kun, Kalpathy-Cramer, Jayashree, Kandpal, Manoj, Karnik, Niranjan S., Katoch, Avnish, Lai, Albert M., Lambert, Christophe G., Li, Lang, Lindsell, Christopher, Liu, Jinze, Lu, Zhiyong, Luo, Yuan, McGarvey, Peter, Mendonca, Eneida A., Mirhaji, Parsa, Murphy, Shawn, Osborne, John D., Paschalidis, Ioannis C., Harris, Paul A., Prior, Fred, Shaheen, Nicholas J., Shara, Nawar, Sim, Ida, Tachinardi, Umberto, Waitman, Lemuel R., Wright, Rosalind J., Zai, Adrian H., Zheng, Kai, Lee, Sandra Soo-Jin, Malin, Bradley A., Natarajan, Karthik, Price II, W. Nicholson, Zhang, Rui, Zhang, Yiye, Xu, Hua, Bian, Jiang, Weng, Chunhua, Peng, Yifan
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the Clinical and Translational Science Award (CTSA) P
Externí odkaz:
http://arxiv.org/abs/2410.12793
Autor:
Li, Zhuohang, Lowy, Andrew, Liu, Jing, Koike-Akino, Toshiaki, Malin, Bradley, Parsons, Kieran, Wang, Ye
We explore user-level gradient inversion as a new attack surface in distributed learning. We first investigate existing attacks on their ability to make inferences about private information beyond training data reconstruction. Motivated by the low re
Externí odkaz:
http://arxiv.org/abs/2409.07291