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Sadra Shadkani
Institutions:
Great Lakes Institute for Environmental Research,
University of Windsor
Observed institutions:
University of Tabriz,
Great Lakes Institute for Environmental Research,
University of Windsor
ORCID:
0000-0001-9827-6272
Observed ORCID:
0000-0001-9827-6272
OpenAlex ID:
A5028494169
Predicting Standardized Streamflow index for hydrological drought using machine learning models
2020
·
Shahabbodin Shamshirband
, Sajjad Hashemi
, et al.
·
Engineering Applications of Computational Fluid Mechanics
·
307
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.
2020
·
Sadra Shadkani
, Akram Abbaspour
, et al.
·
International Journal of Sediment Research
·
66
Prediction of suspended sediment concentration in fluvial flows using novel hybrid deep learning model
2025
·
Sadra Shadkani
, Yousef Hemmatzadeh
, et al.
·
International Journal of Sediment Research
·
55
Random Forest and Multilayer Perceptron hybrid models integrated with the genetic algorithm for predicting pan evaporation of target site using a limited set of neighboring reference station data
2024
·
Sadra Shadkani
, Sajjad Hashemi
, et al.
·
Earth Science Informatics
·
38
Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods
2021
·
Saeed Samadianfard
, Katayoun Kargar
, et al.
·
Neural Computing and Applications
·
35
Enhanced predictive modeling of dissolved oxygen concentrations in riverine systems using novel hybrid temporal pattern attention deep neural networks
2024
·
Sadra Shadkani
, Yousef Hemmatzadeh
, et al.
·
Environmental Research
·
16
A novel stabilized artificial neural network model enhanced by variational mode decomposing
2024
·
Ali Danandeh Mehr
, Sadra Shadkani
, et al.
·
Heliyon
·
14
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
2022
·
Tao Hai
, Hongwei Li
, et al.
·
Engineering Applications of Computational Fluid Mechanics
·
14
PDF
Experimental Investigation for Determination of Discharge Coefficients for Inclined Slide Gates and Comparison with Data-Driven Models
2022
·
Farzin Salmasi
, Sadra Shadkani
, et al.
·
Iranian Journal of Science and Technology Transactions of Civil Engineering
·
12
Prediction of pan evaporation across diverse climates and scenarios using temporal attention clockwork recurrent neural networks coupled with long short-term memory
2025
·
Alireza Goodarzi
, Mahdi Mohammadi Sergini
, et al.
·
Water Cycle
·
10
Forecasting the discharge capacity of inflatable rubber dams using hybrid machine learning models
2021
·
Wenyu Zheng
, Shahab S. Band
, et al.
·
Engineering Applications of Computational Fluid Mechanics
·
10
PDF
Developing long short-term memory combined with numerical first order differential optimization and clockwork recurrent neural network to predict suspended sediment load
2024
·
Milad Sharafi
, Sadra Shadkani
, et al.
·
Earth Science Informatics
·
7
Development of a novel hybrid hydrodynamic particle simulation methodology to estimate discharge coefficient for broad-crested weirs
2024
·
Sadra Shadkani
, Mahdi Mohammadi Sergini
, et al.
·
Flow Measurement and Instrumentation
·
5
Comparison of novel physics-guided machine learning models with empirical equations for predicting longitudinal dispersion coefficient in diverse natural river systems
2024
·
Sadra Shadkani
, Yousef Hemmatzadeh
, et al.
·
Journal of Water Process Engineering
·
4
Physics-informed machine learning with embedded sediment rating curve constraints for high-fidelity multi-lead-time forecast of suspended sediment concentration
2026
·
Yousef Hemmatzadeh
, Sadra Shadkani
, et al.
·
Journal of Hydrology
·
3
Long-term forecasting of water quality and algal dynamics in riverine systems using advanced physicochemical-informed machine learning models
2026
·
Sadra Shadkani
, Aaron T. Fisk
, et al.
·
The Science of The Total Environment
·
1
Advanced physics-enhanced machine learning and empirical approaches for estimating the oxygen transfer alpha factor in activated sludge
2026
·
Sadra Shadkani
, Aaron T. Fisk
, et al.
·
Bioresource Technology
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Works count:
17
Citation count:
593
H-index:
10
I10-index:
11
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