Zobrazeno 1 - 10
of 627
pro vyhledávání: '"Yu, Shian"'
Autor:
Chia-Min Chen, Shun-Chin Liang, Cheuk-Kwan Sun, Yu-Shian Cheng, Yen-Hsiang Tang, Cheng Liu, Kuo-Chuan Hung
Publikováno v:
Italian Journal of Pediatrics, Vol 50, Iss 1, Pp 1-9 (2024)
Abstract This meta-analysis aimed at investigating the therapeutic effects of probiotics against the symptoms of depression in children and adolescents as well as to identify the potential confounders. Following PRISMA guidelines, major databases wer
Externí odkaz:
https://doaj.org/article/db472381c64b490693c748757a2cf7d1
Autor:
Ju, Rui-Yang, Lin, Yu-Shian, Chiang, Jen-Shiun, Chen, Chih-Chia, Chen, Wei-Han, Chien, Chun-Tse
To efficiently extract textual information from color degraded document images is a significant research area. The prolonged imperfect preservation of ancient documents has led to various types of degradation, such as page staining, paper yellowing,
Externí odkaz:
http://arxiv.org/abs/2305.17420
Autor:
Ju, Rui-Yang, Chen, Chih-Chia, Chiang, Jen-Shiun, Lin, Yu-Shian, Chen, Wei-Han, Chien, Chun-Tse
The Transformer-based method has demonstrated remarkable performance for image super-resolution in comparison to the method based on the convolutional neural networks (CNNs). However, using the self-attention mechanism like SwinIR (Image Restoration
Externí odkaz:
http://arxiv.org/abs/2303.09190
Publikováno v:
Brazilian Journal of Psychiatry, Vol 46 (2024)
Objective: To investigate the efficacy of repetitive transcranial magnetic stimulation (rTMS) for attention deficit/hyperactivity disorder (ADHD). Methods: Randomized sham-controlled trials were identified in major databases from January 1990 to Janu
Externí odkaz:
https://doaj.org/article/d310134a93c94b5b9c575a98d87d89c3
Autor:
Ju, Rui-Yang, Lin, Yu-Shian, Jin, Yanlin, Chen, Chih-Chia, Chien, Chun-Tse, Chiang, Jen-Shiun
The efficient extraction of text information from the background in degraded color document images is an important challenge in the preservation of ancient manuscripts. The imperfect preservation of ancient manuscripts has led to different types of d
Externí odkaz:
http://arxiv.org/abs/2211.16098
Convolutional Neural Networks (CNN) increase depth by stacking convolutional layers, and deeper network models perform better in image recognition. Empirical research shows that simply stacking convolutional layers does not make the network train bet
Externí odkaz:
http://arxiv.org/abs/2208.01424
Autor:
Chan, Shih-Han, Yang, Tsai-Lun, Chu, Yun-Wei, Hsu, Chi-Yang, Huang, Ting-Hao, Chiu, Yu-Shian, Ku, Lun-Wei
An engaging and provocative question can open up a great conversation. In this work, we explore a novel scenario: a conversation agent views a set of the user's photos (for example, from social media platforms) and asks an engaging question to initia
Externí odkaz:
http://arxiv.org/abs/2205.09327
Autor:
Ju, Rui-Yang, Lin, Ting-Yu, Chiang, Jen-Shiun, Jian, Jia-Hao, Lin, Yu-Shian, Huang, Liu-Rui-Yi
With the achievements of Transformer in the field of natural language processing, the encoder-decoder and the attention mechanism in Transformer have been applied to computer vision. Recently, in multiple tasks of computer vision (image classificatio
Externí odkaz:
http://arxiv.org/abs/2203.00960
Autor:
Ju, Rui-Yang, Lin, Yu-Shian, Jin, Yanlin, Chen, Chih-Chia, Chien, Chun-Tse, Chiang, Jen-Shiun
Publikováno v:
In Knowledge-Based Systems 25 November 2024 304
Autor:
Syn, Nicholas L., Prieto, Mikel, Meurs, Juul, De Meyere, Celine, Lee, Kit-Fai, Ng, Kelvin K., Salimgereeva, Diana, Alikhanov, Ruslan, Thiruchelvam, Nita, Jang, Jae Young, Kato, Yutaro, Kojima, Masayuki, Coelho, Fabricio Ferreira, Pirola Kruger, Jaime Arthur, Lopez-Lopez, Victor, Casellas I Robert, Margarida, Montalti, Roberto, Giglio, Mariano, Lee, Boram, D'Silva, Mizelle, Wang, Hao-Ping, Saleh, Mansour, Pascual, Franco, Chen, Zewei, Yu, Shian, Vani, Simone, Ardito, Francesco, Giustizieri, Ugo, Citterio, Davide, Mocchegiani, Federico, Colasanti, Marco, Berardi, Giammauro, Guzmán, Yoelimar, Labadie, Kevin P., Conticchio, Maria, Dogeas, Epameinondas, Kauffmann, Emanuele F., Giuffrida, Mario, Sommacale, Daniele, Laurent, Alexis, Magistri, Paolo, Nghia, Phan Phuoc, Mishima, Kohei, Valle, Bernardo Dalla, Krenzien, Felix, Schmelzle, Moritz, Kadam, Prashant, Liu, Qu, Lai, Eric C.H., Zheng, Junhao, Siow, Tiing Foong, Forchino, Fabio, Ghotbi, Jacob, Fretland, Åsmund A., Lim, Chetana, Mazzotta, Alessandro, Cauchy, Francois, Karam, Elias, Barbara, Marco, Pagano, Duilio, Ratti, Francesca, Hoogteijling, Tijs J., Abu Hilal, Mohammad, Zimmitti, Giuseppe, Aghayan, Davit L., Wu, Andrew G.R., Cipriani, Federica, Gruttadauria, Salvatore, Scatton, Olivier, Long, Tran Cong duy, Herman, Paulo, Marino, Marco V., Mazzaferro, Vincenzo, Chiow, Adrian K.H., Sucandy, Iswanto, Ivanecz, Arpad, Choi, Sung Hoon, Lee, Jae Hoon, Gastaca, Mikel, Vivarelli, Marco, Giuliante, Felice, Ruzzenente, Andrea, Yong, Chee Chien, Yin, Mengqiu, Fondevila, Constantino, Efanov, Mikhail, Morise, Zenichi, Di Benedetto, Fabrizio, Brustia, Raffaele, Dalla Valle, Raffaele, Boggi, Ugo, Geller, David, Belli, Andrea, Memeo, Riccardo, Mejia, Alejandro, Park, James O., Rotellar, Fernando, Choi, Gi Hong, Robles-Campos, Ricardo, Wang, Xiaoying, Sutcliffe, Robert P., Pratschke, Johann, Tang, Chung-Ngai, Chong, Charing C.N., D'Hondt, Mathieu, Monden, Kazuteru, Lopez-Ben, Santiago, Kingham, T. Peter, Ferrero, Alessandro, Ettorre, Giuseppe Maria, Cherqui, Daniel, Liang, Xiao, Soubrane, Olivier, Wakabayashi, Go, Troisi, Roberto I., Han, Ho Seong, Cheung, Tan To, Sugioka, Atsushi, Dokmak, Safi, Chen, Kuo Hsin, Liu, Rong, Fuks, David, Zhang, Wanguang, Aldrighetti, Luca, Edwin, Bjørn, Goh, Brian K.P.
Publikováno v:
In European Journal of Surgical Oncology June 2024 50(6)