Deep convolutional neural network to predict ground water level

• 主要な著者: Zamani, Abu Sarwar, Hassan Abdalla Hashim, Aisha, Gopi, Arepalli, Moholkar, Kavita, Rizwanullah, Mohammed, Altaee, Rasool
• フォーマット: 論文
• 言語: English; English
• 出版事項: Springer Nature 2024
• 主題: TK7885 Computer engineering
• オンライン･アクセス: http://irep.iium.edu.my/106404/7/106404_Deep%20convolutional%20neural%20network%20to%20predic.pdf; http://irep.iium.edu.my/106404/19/106404_Deep%20convolutional%20neural%20network%20to%20predict_Scopus.pdf; http://irep.iium.edu.my/106404/; https://link.springer.com/article/10.1007/s41324-023-00537-x

In contrast to the atmosphere and fresh surface water, which can only briefly store water, the natural water cycle may use groundwater as a “reservoir” that stores water for extended periods. Even though there is a considerable degree of variation and complexity in the subsurface environment, ther...