MJ
Mehdi Jamei
Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz
Research areas: Environmental Science · Environmental Engineering · Hydrological Forecasting Using AI · Nanofluid Flow and Heat Transfer · Hydrology and Drought Analysis
Employment
Employment history is unavailable.
Education
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Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz Ph.D2017 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Evaluation of SMAP and SMOS Microwave Satellite Soil Moisture Products for Agricultural Drought Monitoring: Karkheh River Basin Case Study, Iran Save
- Assessment of Root Zone Soil Moisture Products from the Passive Microwave sensors over Iran Save
- Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting Save
- Accurate monthly forecasting of Rainfall pattern in Atlantic climates: an Empirical Fourier Decomposition-based Deep ensemble learning paradigm Save
- Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR Save
- A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm Save
- Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios Save
- A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups Save
- Nanofluids thermal conductivity prediction applying a novel hybrid data-driven model validated using Monte Carlo-based sensitivity analysis Save
- Experimental investigation on thermal conductivity of fly ash nanofluid and fly ash-Cu hybrid nanofluid: prediction and optimization via ANN and MGGP model Save
- Prediction of local scour around circular piles under waves using a novel artificial intelligence approach Save
- Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region Save
- Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach Save