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of 5 142
pro vyhledávání: '"Helmke, A"'
Firmware corpora for vulnerability research should be scientifically sound. Yet, several practical challenges complicate the creation of sound corpora: Sample acquisition, e.g., is hard and one must overcome the barrier of proprietary or encrypted da
Externí odkaz:
http://arxiv.org/abs/2404.11977
Autor:
Helmke Hepach, Judith Piontek, Hermann W. Bange, Theresa Barthelmeß, Anabel von Jackowski, Anja Engel
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Coastal ecosystems are affected by a multitude of anthropogenic stressors. As the Baltic Sea ecosystems rank among the most altered marine ecosystems worldwide, they represent ideal model regions to study ecosystem responses to anthropogenic
Externí odkaz:
https://doaj.org/article/f5b750611d914aa19203f10b1effc80d
Autor:
Ignacio Helmke Miquel
Publikováno v:
Revista Historia y Patrimonio, Vol 3, Iss 4, Pp 1-25 (2024)
El presente artículo trabajará la presencia y representación de los bosques de la Araucanía en una crónica misional y en el registro fotográfico de los padres capuchinos bávaros y el proceso de cambio territorial registrado en estos documentos
Externí odkaz:
https://doaj.org/article/c5b13674570b4394bed47a7961143a2a
Autor:
Christy N. Wails, Claire C. Helmke, Kathleen M. Black, Roger Ramirez-Barrios, Sarah M. Karpanty, Daniel H. Catlin, James D. Fraser
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract Background Sarcoptic mange is a skin disease caused by the contagious ectoparasite Sarcoptes scabiei, capable of suppressing and extirpating wild canid populations. Starting in 2015, we observed a multi-year epizootic of sarcoptic mange affe
Externí odkaz:
https://doaj.org/article/b331372aa8854794927b941dec4283ae
Autor:
Helmke, René, Dorp, Johannes vom
In vulnerability assessments, software component-based CVE attribution is a common method to identify possibly vulnerable systems at scale. However, such version-centric approaches yield high false-positive rates for binary distributed Linux kernels
Externí odkaz:
http://arxiv.org/abs/2209.05217
Autor:
Helmke, Hannah1 h.helmke@right-basedonscience.de
Publikováno v:
Politische Ökologie. okt2024, Issue 178, p124-127. 4p.
Autor:
Chan, Nicholas, Einstein, Andrew J., Teruya, Sergio, Rodriguez, Carlos, Helmke, Stephen, Cuomo, Margaret, Santana, Denisse, Castillo, Michelle, Smiley, Dia, Sabogal, Natalia, Lamour, Sendy, Winburn, Morgan, Fine, Denise, de Freitas, Cinthia, Kattan, Cesia Gallegos, Miller, Edward J., Maurer, Mathew S., Ruberg, Frederick L.
Publikováno v:
In The American Journal of Cardiology 15 February 2025 237:60-64
Autor:
Okyaz Eminaga, Fred Saad, Zhe Tian, Ulrich Wolffgang, Pierre I. Karakiewicz, Véronique Ouellet, Feryel Azzi, Tilmann Spieker, Burkhard M. Helmke, Markus Graefen, Xiaoyi Jiang, Lei Xing, Jorn H. Witt, Dominique Trudel, Sami-Ramzi Leyh-Bannurah
Publikováno v:
npj Imaging, Vol 2, Iss 1, Pp 1-12 (2024)
Abstract Malignancy grading of prostate cancer (PCa) is fundamental for risk stratification, patient counseling, and treatment decision-making. Deep learning has shown potential to improve the expert consensus for tumor grading, which relies on the G
Externí odkaz:
https://doaj.org/article/c4b8543e519440bb95cf3c3b228ab60d
Publikováno v:
Gastro Hep Advances, Vol 3, Iss 7, Pp 944-953 (2024)
Background and Aims: We quantified hepatic functional impairment using quantitative function tests and linked severity of functional impairment to liver-related complications and outcome in primary sclerosing cholangitis. Methods: Forty-seven patient
Externí odkaz:
https://doaj.org/article/c6563efb23cd4028a1c03a3542950488
Autor:
Zuluaga-Gomez, Juan, Prasad, Amrutha, Nigmatulina, Iuliia, Sarfjoo, Saeed, Motlicek, Petr, Kleinert, Matthias, Helmke, Hartmut, Ohneiser, Oliver, Zhan, Qingran
Recent work on self-supervised pre-training focus on leveraging large-scale unlabeled speech data to build robust end-to-end (E2E) acoustic models (AM) that can be later fine-tuned on downstream tasks e.g., automatic speech recognition (ASR). Yet, fe
Externí odkaz:
http://arxiv.org/abs/2203.16822