Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Thu-Huong Truong"'
Autor:
Kieu-Ha Phung, Hieu Tran, Thang Nguyen, Hung V. Dao, Vinh Tran-Quang, Thu-Huong Truong, An Braeken, Kris Steenhaut
Publikováno v:
IEEE Access, Vol 9, Pp 117456-117470 (2021)
We are witnessing the evolution from Internet of Things (IoT) to Internet of Vehicles (IoV). Internet connected vehicles can sense, communicate, analyze and make decisions. Rich vehicle-related data collection allows to apply artificial intelligence
Externí odkaz:
https://doaj.org/article/c3b8a36c81a141dfaded8b70514dc3f0
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 10, Iss 2 (2023)
We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the stream
Externí odkaz:
https://doaj.org/article/ef7c7dfe52c947cc87e1cc74f4d0bc06
Autor:
Viet Hung Nguyen, Ngoc Nam Pham, Cong Thang Truong, Duy Tien Bui, Huu Thanh Nguyen, Thu Huong Truong
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 9, Iss 32 (2022)
Nowadays, omnidirectional content, which delivers 360-degree views of scenes, is a significant aspect of Virtual Reality systems. While 360 video requires a lot of bandwidth, users only see visible tiles, therefore a large amount of bitrate can be sa
Externí odkaz:
https://doaj.org/article/990082f727c34c8781b35b2148ba7d16
Realistic Virtual Reality is supported by 360° video, which provides viewers with an immersive watching experience. However, 360° video is bulky in size, while the transmission system has limited ability to provide bandwidth. As such, intelligent a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a276f6e25326e4c0d3bff2929e86e0e4
https://doi.org/10.36227/techrxiv.21780704
https://doi.org/10.36227/techrxiv.21780704
We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the stream
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84a9cb6b6fcaa19accc59ea350a2bbae
https://doi.org/10.36227/techrxiv.21755879.v1
https://doi.org/10.36227/techrxiv.21755879.v1
Autor:
Vinh Tran-Quang, Hung V. Dao, An Braeken, Kieu-Ha Phung, Thang Nguyen, Kris Steenhaut, Thu-Huong Truong, Hieu Minh Tran
Publikováno v:
IEEE Access. 9:117456-117470
We are witnessing the evolution from Internet of Things (IoT) to Internet of Vehicles (IoV). Internet connected vehicles can sense, communicate, analyze and make decisions. Rich vehicle-related data collection allows to apply artificial intelligence
Autor:
Tien Bui, Viet Ngo, Thanh Nguyen, Pham Nam, Thang Truong, Thi Thanh Huyen Tran, Ha Do Thu, Thu Huong Truong
Non-uniform (foveated) 360° image quality assessment using graph convolution network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::173ca21a1fe308927e4e3b0f11b358e5
https://doi.org/10.36227/techrxiv.19134935.v1
https://doi.org/10.36227/techrxiv.19134935.v1
Autor:
Hung Nguyen, Thu Ngan Dao, Ngoc Son Pham, Tran Long Dang, Trung Dung Nguyen, Thu Huong Truong
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems. 9:e2
Nowadays, Virtual Reality is becoming more and more popular, and 360 video is a very important part of the system. 360 video transmission over the Internet faces many difficulties due to its large size. Therefore, to reduce the network bandwidth requ
This book presents the Fifth International Conference on Safety and Security with IoT (SaSeIoT 2023), which took place Bratislava, Slovakia, October 24-26, 2023. The conference aims to explore not only IoT and its related critical applications but al
Autor:
L.H. Nguyen, Thi Hien Nguyen, Kieu-Ha Phung, K.D. Tran, T.T.N. Le, Thu-Huong Truong, Kim Phuc Tran, Huu Du Nguyen
Publikováno v:
2019 6th NAFOSTED Conference on Information and Computer Science (NICS).
Anomaly detection is the identification of observations that deviates from the data set's normal behavioral patterns. It is an important problem that has been researched within diverse research areas and application domains such as intrusion detectio