ScholarIQanswers from OpenAlex
Hydrological Forecasting Using AI
TopicLeading institutions, researchers & key papers
Hydrological Forecasting Using AI is a topic indexed in ScholarIQ from OpenAlex.
What is known about Hydrological Forecasting Using AI?
ScholarIQrecord summary
This cluster of papers focuses on the application of machine learning methods, such as artificial neural networks, support vector machines, and wavelet analysis, in hydrological modeling and forecasting for water resources management. The papers cover topics including rainfall-runoff modeling, groundwater level forecasting, river flow prediction, and water quality modeling.
How many works does Hydrological Forecasting Using AI have?
ScholarIQindexed works
Hydrological Forecasting Using AI has 35 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Hydrological Forecasting Using AI?
ScholarIQopenalex
The OpenAlex for Hydrological Forecasting Using AI is on the source record.
What are the most-cited papers on Hydrological Forecasting Using AI?
ScholarIQmost cited works
Groundwater level prediction using machine learning algorithms in a drought-prone area
Quoc Bao Pham, Manish Kumar, Fabio Di Nunno, Ahmed Elbeltagi, Francesco Granata, Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Xuan Cuong Nguyen, Ali Najah Ahmed, Duong Tran Anh
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
Ali El Bilali, Taleb Abdeslam, Ayoub Nafii, Houda Lamane, Mohamed Abdellah Ezzaouini, Ahmed Elbeltagi
Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models
Saber Kouadri, Chaitanya B. Pande, Balamurugan Panneerselvam, Kanak N. Moharir, Ahmed Elbeltagi
Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin
Bachir Sakaa, Ahmed Elbeltagi, Samir Boudibi, Hicham Chaffaï, Abu Reza Md. Towfiqul Islam, Luc Cimusa Kulimushi, Pandurang Choudhari, Azzedine Hani, Youssef Brouziyne, Yong Jie Wong
Estimation of water quality index using artificial intelligence approaches and multi-linear regression
Muhammad Sani Gaya, Sani I. Abba, Aliyu Muhammad Abdu, Abubakar Ibrahim Tukur, Mubarak Auwal Saleh, Parvaneh Esmaılı, Norhaliza Abdul Wahab
Where is Hydrological Forecasting Using AI research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Hydrological Forecasting Using AI is open access?
ScholarIQopen access share
27%OPEN ACCESS