Zobrazeno 1 - 10
of 7 342
pro vyhledávání: '"Svec A."'
Autor:
Aali, Asad, Johnston, Andrew, Blankemeier, Louis, Van Veen, Dave, Derry, Laura T, Svec, David, Hom, Jason, Boutin, Robert D., Chaudhari, Akshay S.
Abdominal computed tomography (CT) scans are frequently performed in clinical settings. Opportunistic CT involves repurposing routine CT images to extract diagnostic information and is an emerging tool for detecting underdiagnosed conditions such as
Externí odkaz:
http://arxiv.org/abs/2409.11686
Ontologies are a standard tool for creating semantic schemata in many knowledge intensive domains of human interest. They are becoming increasingly important also in the areas that have been until very recently dominated by subsymbolic knowledge repr
Externí odkaz:
http://arxiv.org/abs/2403.11669
This study details our approach for the CASE 2024 Shared Task on Climate Activism Stance and Hate Event Detection, focusing on Hate Speech Detection, Hate Speech Target Identification, and Stance Detection as classification challenges. We explored th
Externí odkaz:
http://arxiv.org/abs/2402.06549
Autor:
Ferreira, Rodrigo Cezar de Campos, Sagwal, Amandeep, Doležal, Jiří, Canola, Sofia, Merino, Pablo, Neuman, Tomáš, Švec, Martin
Single-molecule tip-enhanced Raman spectroscopy (TERS) under ultra-high vacuum (UHV) and cryogenic conditions enables exploration of the relations between the adsorption geometry, electronic state, and vibrational fingerprints of individual molecules
Externí odkaz:
http://arxiv.org/abs/2310.12546
Publikováno v:
Nano Lett. 2024
The spontaneous fluorescence rates of single-molecule emitters are typically on the order of nanoseconds. However coupling them with plasmonic nanostructures can substantially increase their fluorescence yields. The confinement between the tip and sa
Externí odkaz:
http://arxiv.org/abs/2309.04416
Autor:
Redondo, Jesús, Michalička, Jan, Franceschi, Giada, Šmid, Břetislav, Kumar, Nishant, Man, Ondřej, Blatnik, Matthias, Wrana, Dominik, Kraushofer, Florian, Mallada, Benjamin, Švec, Martin, Parkinson, Gareth S., Setvin, Martin, Riva, Michele, Diebold, Ulrike, Čechal, Jan
Hematite ${\alpha}-Fe_{2}O_{3}(0001)$ is the most-investigated iron oxide model system in photo and electrocatalytic research. The rich chemistry of Fe and O allows for many bulk and surface transformations, but their control is challenging. This has
Externí odkaz:
http://arxiv.org/abs/2303.06023
Autor:
Yakovenko, Olexiy, Sokolskii, Volodymyr, Švec, Peter, Janotová, Irena, Švec Sr., Peter, Kulik, Tadeusz, Cieslak, Grzegorz, Roik, Oleksandr
Publikováno v:
In Journal of Alloys and Compounds 15 October 2024 1002
Ontologies are a standard for semantic schemata in many knowledge-intensive domains of human interest. They are now becoming increasingly important also in areas until very recently dominated by subsymbolic representations and machine-learning-based
Externí odkaz:
http://arxiv.org/abs/2301.00153
Autor:
Lyu, Pin, Sødequist, Joachim, Sheng, Xiaoyu, Qiu, Zhizhan, Tadich, Anton, Li, Qile, Edmonds, Mark T., Redondo, Jesús, Švec, Martin, Olsen, Thomas, Lu, Jiong
Publikováno v:
ACS Nano 17 (16), 15441-15448 (2023)
Emergent quantum phenomena in two-dimensional van der Waal (vdW) magnets are largely governed by the interplay between the exchange and Coulomb interactions. The ability to tune the Coulomb interaction in such strongly correlated materials enables th
Externí odkaz:
http://arxiv.org/abs/2212.02772
The paper presents a method for spoken term detection based on the Transformer architecture. We propose the encoder-encoder architecture employing two BERT-like encoders with additional modifications, including convolutional and upsampling layers, at
Externí odkaz:
http://arxiv.org/abs/2211.01089