Zobrazeno 1 - 10
of 614
pro vyhledávání: '"Phuoc Tran"'
Autor:
Xiao Ling, Gregory S. Alexander, Jason Molitoris, Jinhyuk Choi, Lisa Schumaker, Phuoc Tran, Ranee Mehra, Daria Gaykalova, Lei Ren
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionThis study aimed to identify CT-based imaging biomarkers for locoregional recurrence (LR) in Oral Cavity Squamous Cell Carcinoma (OSCC) patients.MethodsComputed tomography scans were collected from 78 patients with OSCC who underwent surg
Externí odkaz:
https://doaj.org/article/c0ca9d521f654ca2a8ac7badcc1f82ef
Autor:
Timothy Meiller, Claire Fraser, Silvia Grant-Beurmann, Mike Humphrys, Luke Tallon, Lisa Sadewicz, Mary Ann Jabra-Rizk, Areej Alfaifi, Anmar Kensara, Jason Molitoris, Matthew Witek, William Mendes, William Regine, Phuoc Tran, Robert Miller, Ahmed Sultan
Publikováno v:
Journal of Cancer and Allied Specialties, Vol 10, Iss 1 (2023)
Introduction: Due to the radiation-sparing effects on salivary gland acini, changes in the composition of the oral microbiome may be a driver for improved outcomes in patients receiving proton radiation with potentially worse outcomes in patients exp
Externí odkaz:
https://doaj.org/article/a072446f03604be8a146ed54884060b3
Publikováno v:
IEEE Access, Vol 10, Pp 78928-78938 (2022)
A bilingual corpus is vital for natural language processing problems, especially in machine translation. The larger and better quality the corpus is, the higher the efficiency of the resulting machine translation is. There are two popular approaches
Externí odkaz:
https://doaj.org/article/a98bf93663a241d3839a013f22d5dcf9
Publikováno v:
IEEE Access, Vol 7, Pp 32602-32616 (2019)
Although deep neural networks have recently led to great achievements in machine translation (MT), various challenges are still encountered during the development of Korean-Vietnamese MT systems. Because Korean is a morphologically rich language and
Externí odkaz:
https://doaj.org/article/3433d3f215e94d2ea691701db4c2b0ac
Publikováno v:
Complexity, Vol 2021 (2021)
Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radicall
Externí odkaz:
https://doaj.org/article/ccd6c74b9ff94d0984e16e91719622c6
Publikováno v:
Complexity, Vol 2021 (2021)
Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is not always poss
Externí odkaz:
https://doaj.org/article/3f03023756fc4488ad6ed91b51502b44
Publikováno v:
Sensors, Vol 21, Iss 17, p 5880 (2021)
Crowdsensing offers a cost-effective way to collect large amounts of environmental sensor data; however, the spatial distribution of crowdsensing sensors can hardly be influenced, as the participants carry the sensors, and, additionally, the quality
Externí odkaz:
https://doaj.org/article/3f6eeb7030ec497385bbde9993c04b0f
Publikováno v:
EAI Endorsed Transactions on Scalable Information Systems, Vol 3, Iss 9, Pp 1-10 (2016)
Using different modeling and simulation approaches for predicting network performance requires extensive experience and involves a number of time consuming manual steps regarding each of the modeling formalisms. In this paper, we propose a generic ap
Externí odkaz:
https://doaj.org/article/47fdd5c4e23a43e3aa37ddd2fb75d82b
Autor:
Viet, Hoang1 (AUTHOR), Phuoc, Tran Hong2 (AUTHOR), Thao, Dang Thi Nhu1 (AUTHOR), My, Nguyen Khanh1 (AUTHOR), Marya, Anand3 (AUTHOR) amarya@puthisastra.edu.kh
Publikováno v:
Clinical Case Reports. Jun2024, Vol. 12 Issue 6, p1-9. 9p.
Publikováno v:
Cyberpsychology: Journal of Psychosocial Research on Cyberpspace, Vol 7, Iss 3 (2013)
Much of college students’ computer use, including for academic reading, occurs under conditions of multitasking. In three experiments, we investigated their technology use and habitual multitasking and the learning effects of multitasking with onli
Externí odkaz:
https://doaj.org/article/c907a505503a4875bf6f43f97d52f20a