8 May 2026Open access
A hybrid signal decomposition-machine learning benchmarking framework for multi-station precipitation prediction in the Kébir Rhumel basin (Algeria)Publisher siteActa Geophysica, Meteorological Phenomena and Simulations
Active, last published 2026
In hydrological forecasting using ai
Issam
Rehamnia
Scholar“Research focused on Hydrological Forecasting Using AI and adjacent fields.”
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01 · About the work
What I study
ssam Rehamnia is a researcher working on Hydrological Forecasting Using AI. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Issam's work has been cited 170 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Hydrological Forecasting Using AI×5Hydraulic flow and structures×5Dam Engineering and Safety×5Hydrology and Sediment Transport Processes×4Meteorological Phenomena and Simulations×2
04 · Where I am
Affiliations
Affiliation on published researchBadji Mokhtar-Annaba University, AlgeriaDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
3 works12 Feb 2026Open access
Estimation of seepage through zoned earth dams using soft computing techniquesPublisher siteApplied Water Science, Dam Engineering and Safety
25 Sept 2024Open access21cites
Advancing Reservoir Water Level Predictions: Evaluating Conventional, Ensemble and Integrated Swarm Machine Learning ApproachesPublisher siteWater Resources Management, Hydrological Forecasting Using AI
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