Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ngo Thanh Long"'
Autor:
Ngo Thi Hoa, Tran Thi Bich Chieu, Sam Do Dung, Ngo Thanh Long, Thai Quoc Hieu, Nguyen Tien Luc, Pham Thanh Nhuong, Vu Thi Lan Huong, Dao Tuyet Trinh, Heiman F.L. Wertheim, Nguyen Van Kinh, James I. Campbell, Jeremy Farrar, Nguyen Van Vinh Chau, Stephen Baker, Juliet E. Bryant
Publikováno v:
Emerging Infectious Diseases, Vol 19, Iss 2, Pp 331-333 (2013)
Externí odkaz:
https://doaj.org/article/36db8a1a989c444284938ce14177681b
Autor:
Ngo Thanh Long, 吳青龍
101
Realizing and reducing types of waste in construction projects are very important to both construction contractors and owners. Waste in the construction industry is an interested problem that has been cared by all society such as government,
Realizing and reducing types of waste in construction projects are very important to both construction contractors and owners. Waste in the construction industry is an interested problem that has been cared by all society such as government,
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/89538470782115327581
Publikováno v:
Journal of Science and Technology on Information security. 3:10-16
— When data sets have one or more similar characteristics, the clustering in each of these data sets will have an effect on the other data sets. However, for various reasons such as data security issues, these data cannot be stored centrally but in
Autor:
null Do Viet Duc, null Ngo Thanh Long, null Ha Trung Hai, null Chu Van Hai, null Nghiem Van Tam
Publikováno v:
Journal of Military Science and Technology. :3-15
Possibilistic Fuzzy c-means (PFCM) algorithm is a powerful clustering algorithm. It is a combination of two algorithms Fuzzy c-means (FCM) and Possibilistic c-means (PCM). PFCM algorithm deals with the weaknesses of FCM in handling noise sensitivity
Publikováno v:
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE).
Publikováno v:
Atlantis Studies in Uncertainty Modelling.
Publikováno v:
2018 5th NAFOSTED Conference on Information and Computer Science (NICS).
The ensemble is an universal machine learning method that is based on the divide-and-conquer principle. In data clustering, ensemble aims to improve performance in terms of processing speed and clustering quality. Most existing ensemble methods becom
Publikováno v:
Computer-Aided Civil & Infrastructure Engineering. Feb2015, Vol. 30 Issue 2, p120-134. 15p.
Autor:
Sue Lowther, Axel Colling, Hendra Wibawa, John Bingham, Ngo Thanh Long, Joanne Meers, Harimurti Nuradji
Publikováno v:
Journal of Veterinary Diagnostic Investigation. 27:704-715
Oropharyngeal and cloacal swabs have been widely used for the detection of H5N1 highly pathogenic avian Influenza A virus (HPAI virus) in birds. Previous studies have shown that the feather calamus is a site of H5N1 virus replication and therefore ha
Publikováno v:
SoICT
The ensemble is an universal machine learning method that is based on the divide-and-conquer principle. The ensemble aims to improve performance of system in terms of processing speed and quality. The assessment of cluster tendency is a method determ