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Zohreh Sheikh Khozani
Zohreh Sheikh Khozani
Alfred Wegener Institute Helmholtz Center for Polar and Marine Research
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Año
An integrated framework of extreme learning machines for predicting scour at pile groups in clear water condition
I Ebtehaj, H Bonakdari, F Moradi, B Gharabaghi, ZS Khozani
Coastal Engineering 135, 1-15, 2018
1092018
Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level
ZS Khozani, FB Banadkooki, M Ehteram, AN Ahmed, A El-Shafie
Journal of Cleaner Production 348, 131224, 2022
832022
Determination of compound channel apparent shear stress: application of novel data mining models
ZS Khozani, K Khosravi, BT Pham, B Kløve, WHM Wan Mohtar, ...
Journal of Hydroinformatics 21 (5), 798-811, 2019
832019
Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm
DT Bui, K Khosravi, M Karimi, G Busico, ZS Khozani, H Nguyen, ...
Science of the Total Environment 715, 136836, 2020
772020
Comparison between Shannon and Tsallis entropies for prediction of shear stress distribution in open channels
H Bonakdari, Z Sheikh, M Tooshmalani
Stochastic environmental research and risk assessment 29, 1-11, 2015
582015
Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes
I Ebtehaj, H Bonakdari, MJS Safari, B Gharabaghi, AH Zaji, HR Madavar, ...
International Journal of Sediment Research 35 (2), 157-170, 2020
532020
An analysis of shear stress distribution in circular channels with sediment deposition based on Gene Expression Programming
ZS Khozani, H Bonakdari, I Ebtehaj
International Journal of Sediment Research 32 (4), 575-584, 2017
482017
A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction
K Khosravi, ZS Khozani, L Mao
Journal of Hydrology 596, 126100, 2021
382021
Improving Water Quality Index prediction for water resources management plans in Malaysia: application of machine learning techniques
Z Sheikh Khozani, M Iranmehr, WHM Wan Mohtar
Geocarto International 37 (25), 10058-10075, 2022
372022
Prediction of boundary shear stress in circular and trapezoidal channels with entropy concept
Z Sheikh, H Bonakdari
Urban Water Journal 13 (6), 629-636, 2016
372016
Formulating the shear stress distribution in circular open channels based on the Renyi entropy
ZS Khozani, H Bonakdari
Physica A: Statistical Mechanics and its Applications 490, 114-126, 2018
342018
Estimating the shear stress distribution in circular channels based on the randomized neural network technique
ZS Khozani, H Bonakdari, AH Zaji
Applied Soft Computing 58, 441-448, 2017
322017
Graph convolutional network–Long short term memory neural network-multi layer perceptron-Gaussian progress regression model: A new deep learning model for predicting ozone …
M Ehteram, AN Ahmed, ZS Khozani, A El-Shafie
Atmospheric Pollution Research 14 (6), 101766, 2023
312023
Ecological and health risk assessment of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia
TSB Abd Manan, T Khan, WHMW Mohtar, S Beddu, S Qazi, ZS Khozani, ...
Journal of Cleaner Production 294, 126124, 2021
302021
Evolutionary prediction of biohydrogen production by dark fermentation
A Akhbari, S Ibrahim, AA Zinatizadeh, H Bonakdari, I Ebtehaj, ...
CLEAN–Soil, Air, Water 47 (1), 1700494, 2019
262019
Convolutional neural network-support vector machine model-gaussian process regression: a new machine model for predicting monthly and daily rainfall
M Ehteram, AN Ahmed, Z Sheikh Khozani, A El-Shafie
Water Resources Management 37 (9), 3631-3655, 2023
232023
Application of a genetic algorithm in predicting the percentage of shear force carried by walls in smooth rectangular channels
ZS Khozani, H Bonakdari, AH Zaji
Measurement 87, 87-98, 2016
232016
Combining radial basis function neural network models and inclusive multiple models for predicting suspended sediment loads
E Ghanbari-Adivi, M Ehteram, A Farrokhi, Z Sheikh Khozani
Water Resources Management 36 (11), 4313-4342, 2022
222022
Predicting shear stress distribution in rectangular channels using entropy concept
H Bonakdari, M Tooshmalani
International Journal of Engineering 28 (3), 360-367, 2015
222015
Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms
K Khosravi, ZS Khozani, JR Cooper
Environmental Modelling & Software 144, 105165, 2021
202021
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