Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Tran Thanh T"'
Autor:
Le Anh T. M., Doan Hoang D., Ngo Loc P., Huynh Ly T., Huynh Tuan N., Phan Huy T., Tran Thanh T.
Publikováno v:
E3S Web of Conferences, Vol 93, p 02007 (2019)
A new conceptual design for a small-scale and low-cost plastic recycling machine is generated by combining melting part and compression process. Starting with one of the outstanding requirements is in terms of an affordable-priced machine that can pe
Externí odkaz:
https://doaj.org/article/df9d32f3247445d79a7ab1ac6e66c2c4
The development of diagnostic models for detecting and diagnosing pediatric diseases in CXR scans is undertaken due to the lack of high-quality physician-annotated datasets. To overcome this challenge, we introduce and release PediCXR, a new pediatri
Externí odkaz:
http://arxiv.org/abs/2203.10612
Chest radiograph (CXR) interpretation in pediatric patients is error-prone and requires a high level of understanding of radiologic expertise. Recently, deep convolutional neural networks (D-CNNs) have shown remarkable performance in interpreting CXR
Externí odkaz:
http://arxiv.org/abs/2108.06486
Preserving privacy of users is a key requirement of web-scale analytics and reporting applications, and has witnessed a renewed focus in light of recent data breaches and new regulations such as GDPR. We focus on the problem of computing robust, reli
Externí odkaz:
http://arxiv.org/abs/1809.07754
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Avian Diseases, 2020 Dec 01. 64(4), 565-570.
Externí odkaz:
https://www.jstor.org/stable/27034218
Autor:
Tran, Thanh T., Nazir, Shahid, Yegoraw, Addisu A., Assen, Awol M., Walkden-Brown, Stephen W., Gerber, Priscilla F.
Publikováno v:
In Research in Veterinary Science January 2021 134:64-68
The problem of privately releasing data is to provide a version of a dataset without revealing sensitive information about the individuals who contribute to the data. The model of differential privacy allows such private release while providing stron
Externí odkaz:
http://arxiv.org/abs/1103.0825
Publikováno v:
CET Journal - Chemical Engineering Transactions; 2023, Vol. 106, p637-642, 6p