Follow
Hossein Bayat
Hossein Bayat
Verified email at basu.ac.ir
Title
Cited by
Cited by
Year
Particle size distribution models, their characteristics and fitting capability
H Bayat, M Rastgo, MM Zadeh, H Vereecken
Journal of hydrology 529, 872-889, 2015
1032015
Artificial neural networks developed for prediction of dye decolorization efficiency with UV/K2S2O8 process
AR Soleymani, J Saien, H Bayat
Chemical Engineering Journal 170 (1), 29-35, 2011
672011
Effects of slope aspect, grazing, and sampling position on the soil penetration resistance curve
H Bayat, M Sheklabadi, M Moradhaseli, E Ebrahimi
Geoderma 303, 150-164, 2017
542017
Combination of artificial neural networks and fractal theory to predict soil water retention curve
H Bayat, MR Neyshaburi, K Mohammadi, N Nariman-Zadeh, M Irannejad, ...
Computers and electronics in agriculture 92, 92-103, 2013
452013
Estimating water retention with pedotransfer functions using multi-objective group method of data handling and ANNs
H Bayat, MR Neyshabouri, K Mohammadi, N Nariman-Zadeh
Pedosphere 21 (1), 107-114, 2011
422011
Estimating the soil water retention curve: Comparison of multiple nonlinear regression approach and random forest data mining technique
M Rastgou, H Bayat, M Mansoorizadeh, AS Gregory
Computers and Electronics in Agriculture 174, 105502, 2020
362020
Estimation of soil saturated hydraulic conductivity by artificial neural networks ensemble in smectitic soils
A Sedaghat, H Bayat, AA Safari Sinegani
Eurasian Soil Science 49, 347-357, 2016
352016
Comparing neural networks, linear and nonlinear regression techniques to model penetration resistance
H Bayat, MR NEYSHABURI, MA Hajabbasi, AA Mahboubi, ...
Turkish Journal of Agriculture and Forestry 32 (5), 425-433, 2008
312008
Iron and magnesium nano-oxide effects on some physical and mechanical properties of a loamy Hypocalcic Cambisol
H Bayat, Z Kolahchi, S Valaey, M Rastgou, S Mahdavi
Geoderma 335, 57-68, 2019
272019
Prediction of CEC using fractal parameters by artificial neural networks
H Bayat, N Davatgar, M Jalali
International Agrophysics 28 (2), 2014
272014
Analyzing the effect of various soil properties on the estimation of soil specific surface area by different methods
H Bayat, E Ebrahimi, S Ersahin, EN Hepper, DN Singh, AM Amer, ...
Applied Clay Science 116, 129-140, 2015
252015
Developing pedotransfer functions using Sentinel-2 satellite spectral indices and Machine learning for estimating the surface soil moisture
A Sedaghat, MS Shahrestani, AA Noroozi, AF Nosratabad, H Bayat
Journal of Hydrology 606, 127423, 2022
242022
Mathematical models for soil particle‐size distribution and their overall and fraction‐wise fitting to measurements
H Bayat, M Rastgou, A Nemes, M Mansourizadeh, P Zamani
European Journal of Soil Science 68 (3), 345-364, 2017
242017
Modeling Fentonic advanced oxidation process decolorization of Direct Red 16 using artificial neural network technique
J Saien, AR Soleymani, H Bayat
Desalination and Water Treatment 40 (1-3), 174-182, 2012
242012
Prediction capability of different soil water retention curve models using artificial neural networks
E Ebrahimi, H Bayat, MR Neyshaburi, H Zare Abyaneh
Archives of Agronomy and Soil Science 60 (6), 859-879, 2014
232014
Estimating soil water characteristic curve using landscape features and soil thermal properties
H Bayat, B Mazaheri, BP Mohanty
Soil and Tillage Research 189, 1-14, 2019
222019
Novel impacts of nanoparticles on soil properties: tensile strength of aggregates and compression characteristics of soil
H Bayat, Z Kolahchi, S Valaey, M Rastgou, S Mahdavi
Archives of Agronomy and Soil Science 64 (6), 776-789, 2018
222018
Estimation of the soil water retention curve using penetration resistance curve models
H Bayat, GE Zadeh
Computers and Electronics in Agriculture 144, 329-343, 2018
182018
Investigating the correlation between soil tensile strength curve and soil water retention curve via modeling
G Ebrahim-Zadeh, H Bayat, AAS Sinegani, HZ Abyaneh, H Vereecken
Soil and Tillage Research 167, 9-29, 2017
182017
Improving estimation of specific surface area by artificial neural network ensembles using fractal and particle size distribution curve parameters as predictors
H Bayat, S Ersahin, EN Hepper
Environmental Modeling & Assessment 18, 605-614, 2013
172013
The system can't perform the operation now. Try again later.
Articles 1–20