Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lawrence Mdegela"'
Publikováno v:
Data in Brief, Vol 49, Iss , Pp 109395- (2023)
Floods are a recurring natural disaster that pose significant risks to communities and infrastructure. The lack of reliable and accurate data on river systems in developing countries has hindered the development of effective flood early warning syste
Externí odkaz:
https://doaj.org/article/d14b5adc013f421e98ec0437285be822
Publikováno v:
Sensors, Vol 23, Iss 8, p 4055 (2023)
Reliable and accurate flood prediction in poorly gauged basins is challenging due to data scarcity, especially in developing countries where many rivers remain insufficiently monitored. This hinders the design and development of advanced flood predic
Externí odkaz:
https://doaj.org/article/87eb8be2b4df46f7a9a1dc6d36b8f9a6
Publikováno v:
Water, Vol 15, Iss 6, p 1021 (2023)
Advancements in machine learning techniques, availability of more data sets, and increased computing power have enabled a significant growth in a number of research areas. Predicting, detecting, and classifying complex events in earth systems which b
Externí odkaz:
https://doaj.org/article/f0461d6ea1d8438d9617b83de0d7544b
Advancements in Machine Learning techniques, availability of more data-sets, and increased computing power have enabled a significant growth in a number research areas. Predicting, detecting and classifying complex events in earth systems which by na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a2ea2a3ab97f7d60a66dc4ace8a4974
Reliable and accurate flood prediction is a challenging task in poorly gauged basins due to data scarcity. Data is an essential component of any AI/ML model today, and the performance of such models hugely depends on the availability of sufficient am
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff971dc1e8a7fc93df57230b2acd48f5