Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Siyao Peng"'
Publikováno v:
High Voltage, Vol 8, Iss 4, Pp 668-681 (2023)
Abstract Automatically and accurately detecting the self‐blast state of glass insulators is of great significance to operation and maintenance of transmission lines. To solve the shortcomings of the existing open‐loop cognitive models to detect t
Externí odkaz:
https://doaj.org/article/701db6c46bfd4b73a1ca513437051c74
Autor:
Elena Choleris, Pietro Paletta, Dario Aspesi, Noah Bass, Siyao Peng, Oksana Kachmarchuk, Christine Sexton, Kathleen Ladouceur, Dante Cantini
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S55- (2023)
Externí odkaz:
https://doaj.org/article/c2265ccd85984785b3ddc192979e2ef0
Autor:
Muchao Qu, Zixin Xie, Shuiyan Liu, Jinzhu Zhang, Siyao Peng, Zhitong Li, Cheng Lin, Fritjof Nilsson
Publikováno v:
Nanomaterials, Vol 13, Iss 12, p 1813 (2023)
Elastic strain sensor nanocomposites are emerging materials of high scientific and commercial interest. This study analyzes the major factors influencing the electrical behavior of elastic strain sensor nanocomposites. The sensor mechanisms were desc
Externí odkaz:
https://doaj.org/article/1db1538932fb4aeda925cd489abdee82
Autor:
Nilsson, Muchao Qu, Zixin Xie, Shuiyan Liu, Jinzhu Zhang, Siyao Peng, Zhitong Li, Cheng Lin, Fritjof
Publikováno v:
Nanomaterials; Volume 13; Issue 12; Pages: 1813
Elastic strain sensor nanocomposites are emerging materials of high scientific and commercial interest. This study analyzes the major factors influencing the electrical behavior of elastic strain sensor nanocomposites. The sensor mechanisms were desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::3fb8b025ba4e5c2fe3404cff9895c2b7
Publikováno v:
High Voltage.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abd7eb993615356b27bf9da6fd7a22e2
https://doi.org/10.1049/hve2.12296
https://doi.org/10.1049/hve2.12296
This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification. Our system, called DisCoDisCo, is a Transformer-based neural classifier which enhances contextualized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52d5443390400786e5574229c1b68eab
http://arxiv.org/abs/2109.09777
http://arxiv.org/abs/2109.09777
Publikováno v:
CIKM
In dialogues, an utterance is a chain of consecutive sentences produced by one speaker which ranges from a short sentence to a thousand-word post. When studying dialogues at the utterance level, it is not uncommon that an utterance would serve multip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71a56c3a2e1afb7b5936594e9b863f4b
http://arxiv.org/abs/1909.00521
http://arxiv.org/abs/1909.00521
Publikováno v:
Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019.
In this paper we present GumDrop, Georgetown University’s entry at the DISRPT 2019 Shared Task on automatic discourse unit segmentation and connective detection. Our approach relies on model stacking, creating a heterogeneous ensemble of classifier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c9373c839603a351de36cbc181cff62
https://doi.org/10.18653/v1/w19-2717
https://doi.org/10.18653/v1/w19-2717
Autor:
Östling, Robert1 (AUTHOR) robert@ling.su.se, Kurfalı, Murathan2 (AUTHOR) murathan.kurfali@su.se
Publikováno v:
Computational Linguistics. Dec2023, Vol. 49 Issue 4, p1003-1051. 49p.
Publikováno v:
Journal of Language Modelling; Jun2024, Vol. 12 Issue 1, p1-42, 42p