Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shabbir Ahmed Osmani"'
Publikováno v:
Agricultural Water Management, Vol 302, Iss , Pp 108952- (2024)
Agricultural productivity is highly correlated with climatic variations, including drought events. This study is aimed at performing a comprehensive assessment of agricultural drought conditions in the Köppen–Geiger climate zones in Bangladesh, ba
Externí odkaz:
https://doaj.org/article/0526cae09e3647e08d5227ac71478ba2
Prediction of monthly dry days with machine learning algorithms: a case study in Northern Bangladesh
Autor:
Shabbir Ahmed Osmani, Jong-Suk Kim, Changhyun Jun, Md. Wahiduzzaman Sumon, Jongjin Baik, Jinwook Lee
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-21 (2022)
Abstract Dry days at varied scale are an important topic in climate discussions. Prolonged dry days define a dry period. Dry days with a specific rainfall threshold may visualize a climate scenario of a locality. The variation of monthly dry days fro
Externí odkaz:
https://doaj.org/article/49e9ecce1ca14be389f5e0780e86b62a
Publikováno v:
6TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING FOR SUSTAINABLE DEVELOPMENT (ICCESD 2022).
Autor:
Shabbir Ahmed Osmani, Foysol Mahmud
Publikováno v:
Environment, Development and Sustainability. 23:1976-1993
Challenges in the provision of a safe water distribution system have become one of the major concerns to the society. Various models and algorithms have been developed so far to incorporate in the early warning systems. This study focuses on the use
Publikováno v:
Environmental Monitoring and Assessment. 191
An effective detection algorithm, supervising an online water system, is expected to monitor changes in water quality due to any contamination. However, contemporary event detection methods are often criticized for their high false detection rates as