Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …

H Tao, SI Abba, AM Al-Areeq, F Tangang… - … applications of artificial …, 2024 - Elsevier
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

Opportunities, challenges, and benefits of AI innovation in government services: a review

K Alhosani, SM Alhashmi - Discover Artificial Intelligence, 2024 - Springer
Artificial intelligence (AI) has emerged as an excellent tool across multiple industries and
holds great promise for the government, society, and economy. However, the absence of a …

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction

RMA Ikram, AA Ewees, KS Parmar, ZM Yaseen… - Applied Soft …, 2022 - Elsevier
Precise streamflow prediction is necessary for better planning and managing available
water and future water resources, especially for high altitude mountainous glacier melting …

Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR …

A Elbeltagi, CB Pande, M Kumar, AD Tolche… - … Science and Pollution …, 2023 - Springer
Agriculture, meteorological, and hydrological drought is a natural hazard which affects
ecosystems in the central India of Maharashtra state. Due to limited historical data for …

Long lead-time daily and monthly streamflow forecasting using machine learning methods

M Cheng, F Fang, T Kinouchi, IM Navon, CC Pain - Journal of Hydrology, 2020 - Elsevier
Long lead-time streamflow forecasting is of great significance for water resources planning
and management in both the short and long terms. Despite of some studies using machine …

Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model

L Ni, D Wang, J Wu, Y Wang, Y Tao, J Zhang, J Liu - Journal of Hydrology, 2020 - Elsevier
The establishment of an accurate and reliable forecasting model is important for water
resource planning and management. In this study, we developed a hybrid model (namely …

Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years

M Troin, R Arsenault, AW Wood, F Brissette, JL Martel - 2021 - Wiley Online Library
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting

G Zuo, J Luo, N Wang, Y Lian, X He - Journal of Hydrology, 2020 - Elsevier
Reliable and accurate streamflow forecasting is vital for water resource management. Many
streamflow prediction studies have demonstrated the excellent prediction ability of …

An overview of flood concepts, challenges, and future directions

A Mishra, S Mukherjee, B Merz, VP Singh… - Journal of hydrologic …, 2022 - ascelibrary.org
This review provides a broad overview of the current state of flood research, current
challenges, and future directions. Beginning with a discussion of flood-generating …

Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction

N Baig, J Usman, SI Abba, M Benaafi… - Journal of Cleaner …, 2023 - Elsevier
Wastewater (WW) served as the crucial indicator for sustainable development, human
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …