Estimating the shear stress distribution in circular channels based on the randomized neural network technique. - Zohreh Sheikh Khozani; Hossein Bonakdari; Amir Hossein Zaji (Appl. Soft Comput., 2017)

Evaluating the apparent shear stress in prismatic compound channels using the Genetic Algorithm based on Multi-Layer Perceptron: A comparative study. - Hossein Bonakdari; Zohreh Sheikh Khozani; Amir Hossein Zaji; Navid Asadpour (Appl. Math. Comput., 2018)

Estimating shear stress in a rectangular channel with rough boundaries using an optimized SVM method. - Zohreh Sheikh Khozani; Hossein Bonakdari; Amir Hossein Zaji (Neural Comput. Appl., 2018)

Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models. - Zohreh Sheikh Khozani; Khabat Khosravi; Mohammadamin Torabi; Amir Mosavi; Bahram Rezaei; Timon Rabczuk (CoRR, 2020)

Machine Learning versus Mathematical Model to Estimate the Transverse Shear Stress Distribution in a Rectangular Channel. - Babak Lashkar-Ara; Niloofar Kalantari; Zohreh Sheikh Khozani; Amir Mosavi (CoRR, 2021)

Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms. - Khabat Khosravi; Zohreh Sheikh Khozani; James R. Cooper (Environ. Model. Softw., 2021)

Intelligent flow discharge computation in a rectangular channel with free overfall condition. - Khabat Khosravi; Zohreh Sheikh Khozani; Assefa M. Melesse; Brian Mark Crookston (Neural Comput. Appl., 2022)

Stacking ensemble-based hybrid algorithms for discharge computation in sharp-crested labyrinth weirs. - Khabat Khosravi; Mir Jafar Sadegh Safari; Zohreh Sheikh Khozani; Brian Mark Crookston; Ali Golkarian (Soft Comput., 2022)