Zobrazeno 1 - 8
of 8
pro vyhledávání: '"N. Q. Hung"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 13, Iss 8, Pp 1413-1425 (2009)
This paper presents a new approach using an Artificial Neural Network technique to improve rainfall forecast performance. A real world case study was set up in Bangkok; 4 years of hourly data from 75 rain gauge stations in the area were used to devel
Externí odkaz:
https://doaj.org/article/2408b9a4606b448dac87d6a74f895079
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Proceedings of the Estonian Academy of Sciences, Vol 70, Iss 1, Pp 40-50 (2021)
The chemical composition and biological activities of Balanophora fungosa var. globosa (BFG) were studied for the first time. Also, the chemical composition of some other Balanophora species was established for comparison. Phenolic compounds isolaric
Publikováno v:
Acta Horticulturae. :277-284
Publikováno v:
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease. 20(2)
Setting An Hoa Clinic, a district-level human immunodeficiency virus (HIV) clinic in Ho Chi Minh City, Viet Nam. Objective To assess the performance of chest radiograph (CXR) in screening for pulmonary tuberculosis (PTB) among HIV-infected individual
Autor:
L. T. Giang, N. N. Lan, N. T B Yen, R. P. Beasley, D. V. Ngoc, L. T T Trinh, Edward A. Graviss, Lu-Yu Hwang, Duc T. Nguyen, N. Q. Hung, N. H. Dung, C. E. Ford, N. D. Bang, N. T N Lan
Publikováno v:
The International Journal of Tuberculosis and Lung Disease. 15:1528-1535
Setting District 6, An Hoa Clinic in Ho Chi Minh City (HCMC), Viet Nam. Objective To evaluate the performance of various algorithms in tuberculosis (TB) screening and diagnosis in a human immunodeficiency virus (HIV) infected population in HCMC, Viet
Publikováno v:
Hydrology and Earth System Sciences, Vol 13, Iss 8, Pp 1413-1425 (2009)
This paper presents a new approach using an Artificial Neural Network technique to improve rainfall forecast performance. A real world case study was set up in Bangkok; 4 years of hourly data from 75 rain gauge stations in the area were used to devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdc099753192e15d11c56d8e51246951
https://doi.org/10.5194/hessd-5-183-2008
https://doi.org/10.5194/hessd-5-183-2008
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.