Zobrazeno 1 - 10
of 402
pro vyhledávání: '"Do Cuong"'
Autor:
Van-Hau Nguyen, Tran Thi Tuyet-Hanh, James Mulhall, Hoang Van Minh, Trung Q Duong, Nguyen Van Chien, Nguyen Thi Trang Nhung, Vu Hoang Lan, Hoang Ba Minh, Do Cuong, Nguyen Ngoc Bich, Nguyen Huu Quyen, Tran Nu Quy Linh, Nguyen Thi Tho, Ngu Duy Nghia, Le Van Quoc Anh, Diep T M Phan, Nguyen Quoc Viet Hung, Mai Thai Son
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 16, Iss 6, p e0010509 (2022)
BackgroundDengue fever (DF) represents a significant health burden in Vietnam, which is forecast to worsen under climate change. The development of an early-warning system for DF has been selected as a prioritised health adaptation measure to climate
Externí odkaz:
https://doaj.org/article/da592396b0394e08ae736e8c42450672
Federated Learning (FL) is a promising paradigm that offers significant advancements in privacy-preserving, decentralized machine learning by enabling collaborative training of models across distributed devices without centralizing data. However, the
Externí odkaz:
http://arxiv.org/abs/2405.20431
Domain shift is a formidable issue in Machine Learning that causes a model to suffer from performance degradation when tested on unseen domains. Federated Domain Generalization (FedDG) attempts to train a global model using collaborative clients in a
Externí odkaz:
http://arxiv.org/abs/2403.15605
Autor:
Nguyen, Cuong V., Do, Cuong D.
The adoption of deep learning in ECG diagnosis is often hindered by the scarcity of large, well-labeled datasets in real-world scenarios, leading to the use of transfer learning to leverage features learned from larger datasets. Yet the prevailing as
Externí odkaz:
http://arxiv.org/abs/2402.02021
In practical electrocardiography (ECG) interpretation, the scarcity of well-annotated data is a common challenge. Transfer learning techniques are valuable in such situations, yet the assessment of transferability has received limited attention. To t
Externí odkaz:
http://arxiv.org/abs/2311.04224
Autor:
Nguyen, Nghia T., Luu, Long, Vo, Phuong L., Nguyen, Thi Thanh Sang, Do, Cuong T., Nguyen, Ngoc-thanh
Dynamic adaptive streaming over HTTP (DASH) has been widely used in video streaming recently. In DASH, the client downloads video chunks in order from a server. The rate adaptation function at the video client enhances the user's quality-of-experienc
Externí odkaz:
http://arxiv.org/abs/2308.11621
Nowadays, an increasing number of people are being diagnosed with cardiovascular diseases (CVDs), the leading cause of death globally. The gold standard for identifying these heart problems is via electrocardiogram (ECG). The standard 12-lead ECG is
Externí odkaz:
http://arxiv.org/abs/2208.07088
The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that COVID-19 infection may cause ca
Externí odkaz:
http://arxiv.org/abs/2208.05433
Sleep apnea (SA) is a type of sleep disorder characterized by snoring and chronic sleeplessness, which can lead to serious conditions such as high blood pressure, heart failure, and cardiomyopathy (enlargement of the muscle tissue of the heart). The
Externí odkaz:
http://arxiv.org/abs/2208.03408
Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays a key role in successful trea
Externí odkaz:
http://arxiv.org/abs/2207.12381