Zobrazeno 1 - 10
of 629
pro vyhledávání: '"Ho, Viet"'
Autor:
Van Chien, Trinh, Duc, Bui Trong, Luong, Ho Viet Duc, Binh, Huynh Thi Thanh, Ngo, Hien Quoc, Chatzinotas, Symeon
This research exploits the applications of reconfigurable intelligent surface (RIS)-assisted multiple input multiple output (MIMO) systems, specifically addressing the enhancement of communication reliability with modulated signals. Specifically, we
Externí odkaz:
http://arxiv.org/abs/2410.05961
Autor:
Ho, Viet Bun, Le, Xuan Thanh
Quang Ninh province, Vietnam has a rich wind power resources. This type of energy will be soon utilized for generating power to supply all industrial sites including mining corporations. Because of geological characteristics, wind power stations are
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A32486
https://tud.qucosa.de/api/qucosa%3A32486/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A32486/attachment/ATT-0/
Machine Reading Comprehension has become one of the most advanced and popular research topics in the fields of Natural Language Processing in recent years. The classification of answerability questions is a relatively significant sub-task in machine
Externí odkaz:
http://arxiv.org/abs/2301.00429
Convolutional Neural Networks (CNNs) have achieved promising results in medical image segmentation. However, CNNs require lots of training data and are incapable of handling pose and deformation of objects. Furthermore, their pooling layers tend to d
Externí odkaz:
http://arxiv.org/abs/2205.09299
Autor:
Binh, Nguyen Thi My, Binh, Huynh Thi Thanh, Luong, Ho Viet Duc, Long, Nguyen Tien, Van Chien, Trinh
Publikováno v:
In Journal of Network and Computer Applications November 2024 231
Deep learning methods have been successful in solving tasks in machine learning and have made breakthroughs in many sectors owing to their ability to automatically extract features from unstructured data. However, their performance relies on manual t
Externí odkaz:
http://arxiv.org/abs/2203.08951
Convolutional Neural Networks (CNNs) have been successful in solving tasks in computer vision including medical image segmentation due to their ability to automatically extract features from unstructured data. However, CNNs are sensitive to rotation
Externí odkaz:
http://arxiv.org/abs/2203.08948
Temporal action proposal generation is an essential and challenging task that aims at localizing temporal intervals containing human actions in untrimmed videos. Most of existing approaches are unable to follow the human cognitive process of understa
Externí odkaz:
http://arxiv.org/abs/2107.08323
Autor:
Chu Chi Thiet , Nguyen Thi Le Thuy, Tran Thi Ngoc Anh, Ho Viet Cuong, Pham My Dung, Nguyen Thi Thanh
Publikováno v:
Tạp chí Khoa học, Vol 52, Iss 4A, Pp 104-113 (2023)
The research was conducted to complete technological protocol of biomass production of algae Nannochloropsis oculata with both culture methods in plastic bags and photo-bioreactor systems. The results show that in the nylon bag system, algae reac
Externí odkaz:
https://doaj.org/article/30255ae12f47479ebdaca3381061bb54
Autor:
Nguyen Duy T, Dao Bui Quy Q, Nguyen Duc L, Ho Viet Le D, Le Ha K, Do Gia T, Nguyen Trung K, Nguyen Van T, Nguyen Oanh O, Le Viet T
Publikováno v:
International Journal of General Medicine, Vol Volume 16, Pp 4525-4535 (2023)
Toan Nguyen Duy,1,2 Quyen Dao Bui Quy,3 Loc Nguyen Duc,4 Diem Ho Viet Le,5 Khoa Le Ha,6 Tuyen Do Gia,6 Kien Nguyen Trung,1,2 Tam Nguyen Van,1,2 Oanh Nguyen Oanh,1,2 Thang Le Viet1,2 1Military Hospital 103, Hanoi, Vietnam; 2Vietnam Military Medical Un
Externí odkaz:
https://doaj.org/article/aee4b7110bc84fc6a4e0666d00d1f227