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Isfahan University of Technology
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Data-driven prediction of ultimate tensile strength in low alloy steel: A machine learning approach
Predicting Soil Carbon Pools in Central Iran Using Random Forest: Drivers and Uncertainty Analysis
Predictive modeling of bond strength and failure strain in FRP-to-concrete joints considering groove classification
اقتصاد و مدیریت صنایع غذایی
Mojtaba Khalili
Experiences dabbagh
International Conference Papers
Previous Wireless Systems Projects
Biography 94
An integrated index for assessment of vulnerability to drought, Case study: Najafabad plain, Iran
Reviewing activities
Doktorsafaei,Hamid
M. Sharifi
Academic Degree
Arzoo Tarabi Samani (M.Sc)
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