Mohammad Bejani

202320241 2

Vahid NouraniProfessor of Civil and Env. Eng., Univ. of Tabriz , Near East Univ., Charles Darwin Univ.Verified email at tabrizu.ac.ir
Aida H. BaghanamUniversity of TabrizVerified email at tabrizu.ac.ir
hadi pouraliFaculty of Civil Engineering, University of TabrizVerified email at ms.tabrizu.ac.ir
changqing keNJUVerified email at nju.edu.cn
Yongqiang ZhangDistinguished Professor, Institute of Geographic Sciences and Natural Resources Research, CASVerified email at igsnrr.ac.cn
KANTOUSH Sameh A.Full Professor, Kyoto University, JapanVerified email at kyoto-u.ac.jp

Mohammad Bejani

Verified email at ms.tabrizu.ac.ir


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
AI-Based Statistical Downscaling of Precipitation and Temperature via Convolutional Neural Network Using Nonlinear Predictor Screening Approach AH Baghanam, V Nourani, M Bejani International Conference on Natural Resources and Sustainable Environmental …, 2021	2	2021
Assessing the Drought Vulnerability of Alberta: A Deep Learning Approach for Hydro-Climatological Analysis V Nourani, H Pourali, M Bejani, AH Baghanam Engineering Proceedings 56 (1), 309, 2023	1	2023
A systematic review of predictor screening methods for downscaling of numerical climate models AH Baghanam, V Nourani, M Bejani, H Pourali, SA Kantoush, Y Zhang Earth-Science Reviews, 104773, 2024		2024
Improving the statistical downscaling performance of climatic parameters with convolutional neural networks A Hosseini Baghanam, V Nourani, M Bejani, CQ Ke Journal of Water and Climate Change, jwc2024592, 2024		2024

The system can't perform the operation now. Try again later.

Articles 1–4

Citations per year