Zobrazeno 1 - 10
of 372 526
pro vyhledávání: '"Tran AN"'
Autor:
Huynh Hoang Nhut, Diep Quoc Tuan Nguyen, Dinh Minh Quan Cao, Tran Anh Tu, Dang Nguyen Chau, Phan Thien Luan, Tran Trung Nghia, Ching Congo Tak Shing
Publikováno v:
Journal of Electrical Bioimpedance, Vol 15, Iss 1, Pp 63-74 (2024)
Gesture recognition is a crucial aspect in the advancement of virtual reality, healthcare, and human-computer interaction, and requires innovative methodologies to meet the increasing demands for precision. This paper presents a novel approach that c
Externí odkaz:
https://doaj.org/article/c37c761b70b74a46bf684b8ac924f8e7
Publikováno v:
Journal of Human, Earth, and Future, Vol 5, Iss 2, Pp 131-150 (2024)
Objectives: This study aims to comprehensively explore trends, sentiments, and visualization of mental stress expressions in online communities, focusing on discussions within subreddits on the social media platform Reddit. Methods/Analysis: Advanced
Externí odkaz:
https://doaj.org/article/dc6730bdd43a4c2cbab47598301c24d3
Autor:
Van Phan Le, Van Tam Nguyen, Tran Bac Le, Nguyen Tuan Anh Mai, Viet Dung Nguyen, Thi Tam Than, Thi Ngoc Ha Lai, Ki Hyun Cho, Seong-Keun Hong, Yeon Hee Kim, Tran Anh Dao Bui, Thi Lan Nguyen, Daesub Song, Aruna Ambagala
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 5, Pp 991-994 (2024)
African swine fever virus (ASFV) genotype II is endemic to Vietnam. We detected recombinant ASFV genotypes I and II (rASFV I/II) strains in domestic pigs from 6 northern provinces in Vietnam. The introduction of rASFV I/II strains could complicate on
Externí odkaz:
https://doaj.org/article/33469ce1a8534a7dbe50577d71671f87
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 19495-19514 (2024)
Association rule mining (ARM) is a technique for discovering meaningful associations within databases, typically handling discrete and categorical data. Recent advancements in ARM have concentrated on refining calculations to reveal connections among
Externí odkaz:
https://doaj.org/article/c1b06c285cd444c3b35afbd0843c9c9e
Publikováno v:
SAGE Open, Vol 14 (2024)
This study addresses the compelling need for emerging-market business organizations to excel in turbulent environments. Drawing upon a dynamic capability framework, we delve into organizational mindfulness, resilience, and performance dynamics within
Externí odkaz:
https://doaj.org/article/01ef8531b7b14a0ba4d002c818281e1c
Publikováno v:
Journal of Human, Earth, and Future, Vol 5, Iss 1, Pp 1-18 (2024)
Objectives: This study explores different machine learning models (KNN: k-nearest neighbor, MLP: Multilayer Perceptron, SVM: Support Vector Machine) to identify the optimal model for accurate and rapid mental health detection among the recovered COVI
Externí odkaz:
https://doaj.org/article/24618744d2464e24ba230a733fcccefa
Autor:
Nguyen Trong Ha, Tran Anh Nghia
Publikováno v:
Tạp chí Khoa học, Vol 53, Iss 1A, Pp 17-25 (2024)
The steel pony-truss bridge is a structure commonly used in road and rail traffic. It has a simple structure, a large bearing capacity, and high economic efficiency. The safety of steel pony-truss bridges is highly dependent on the stability conditio
Externí odkaz:
https://doaj.org/article/b72f92f718404a29b3455af81fbc21c8
Autor:
Tran Anh Tuan, Win Win Myo, Le Thanh Thao Trang, Nguyen Thi The Nhan, Tran Dai An, Dao Thi Thanh Loan
Publikováno v:
International Journal of Data and Network Science, Vol 8, Iss 4, Pp 2383-2398 (2024)
The COVID-19 pandemic has led to different health outcomes, including long COVID (LCo) and mental health (MH) disorders, impacting millions globally. To enable early healthcare diagnosis, including the prediction of MH conditions and LCo, various res
Externí odkaz:
https://doaj.org/article/6fba999bdf054f66854d0bc14897ce6b
Autor:
Vo Phuc Tinh, Hoang Hai Son, Nguyen Hoang Nam, Duc Ngoc Minh Dang, Duy-Dong Le, Thai-Binh Nguyen, Thanh-Qui Pham, van-Luong Nguyen, Duy-Thanh Huynh, Tran Anh Khoa
Publikováno v:
IEEE Access, Vol 12, Pp 148011-148025 (2024)
In the large-scale deployment of federated learning (FL) systems, the heterogeneity of clients, such as mobile phones and Internet of Things (IoT) devices with different configurations, constitutes a significant problem regarding fairness, training p
Externí odkaz:
https://doaj.org/article/002e92d40ddc46bfbd7a9a9b76cbd94c
Publikováno v:
IEEE Access, Vol 12, Pp 94231-94249 (2024)
Medical image segmentation is crucial for deep learning (DL) applications in clinical settings. Ensuring accurate segmentation is challenging due to diverse image sources and significant data sharing and privacy concerns in centralized learning setup
Externí odkaz:
https://doaj.org/article/ca4e72b40e224239998d57668f0f425e