Artificial Intelligence of Things (AIoT)-oriented framework for blockage assessment at cross-drainage hydraulic structures

IF 2.4 Q2 WATER RESOURCES

Australasian Journal of Water Resources Pub Date : 2023-12-19 DOI:10.1080/13241583.2023.2292608

Umair Iqbal, Muhammad Zain Bin Riaz, J. Barthélemy, Pascal Perez

引用次数: 0

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面向人工智能物联网（AIoT）的跨排水水力结构堵塞评估框架

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Australasian Journal of Water Resources WATER RESOURCES-

CiteScore

5.10

自引率

21.90%

发文量

期刊介绍： The Australasian Journal of Water Resources ( AJWR) is a multi-disciplinary regional journal dedicated to scholarship, professional practice and discussion on water resources planning, management and policy. Its primary geographic focus is on Australia, New Zealand and the Pacific Islands. Papers from outside this region will also be welcomed if they contribute to an understanding of water resources issues in the region. Such contributions could be due to innovations applicable to the Australasian water community, or where clear linkages between studies in other parts of the world are linked to important issues or water planning, management, development and policy challenges in Australasia. These could include papers on global issues where Australasian impacts are clearly identified.