Sadra Shadkani

Comparative study of multilayer perceptron-stochastic gradient descent and gradient boosted trees for predicting daily suspended sediment load: The case study of the Mississippi River, U.S.

A. Mosavi, S. Band, Sadra Shadkani, 2020 .

Predicting Standardized Streamflow index for hydrological drought using machine learning models

K. Chau, A. Mosavi, E. Asadi, 2020 .

Comparison of the efficacy of particle swarm optimization and stochastic gradient descent algorithms on multi-layer perceptron model to estimate longitudinal dispersion coefficients in natural streams

Shahab S. Band, K. Chau, S. Band, 2022, Engineering Applications of Computational Fluid Mechanics.

Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods

Sadra Shadkani, A. Abbaspour, S. Samadianfard, 2021, Neural Computing and Applications.

Forecasting the discharge capacity of inflatable rubber dams using hybrid machine learning models

Shahab S. Band, K. Chau, A. Mosavi, 2021, Engineering Applications of Computational Fluid Mechanics.

Comparison of novel physics-guided machine learning models with empirical equations for predicting longitudinal dispersion coefficient in diverse natural river systems

Sadra Shadkani, Yousef Hemmatzadeh, Jalal Shiri, 2024, Journal of Water Process Engineering.