Author = Ansari Ghojghar, Mohammad
Evaluating the efficiency of hybrid metamodels of machine learning and Box Jenkins in order to model dust storms (case study: Khuzestan province).

Articles in Press, Accepted Manuscript, Available Online from 03 September 2022

10.22059/ijswr.2022.346694.669335

Mohammad Ansari ghojghar; javad bazrafshan; Shahab Araghinejad


Investigating the Interrelationships between Hydro-Social Parameters in the Asian Continent Using Data Mining Methods

Volume 52, Issue 3, May 2021, Pages 597-609

10.22059/ijswr.2021.311739.668764

Mohammad Ansari Ghojghar; Sarvin Zmanzad-Ghavidel; fariba khodabakhshi; Masoud Pourgholam-Amiji; Shahab Araghinejad; Ali Salajegheh


Investigating the Relationship between Drought and Trend of the Frequency of Dust Storms in the West and Southwest of Iran

Volume 51, Issue 11, February 2021, Pages 2839-2852

10.22059/ijswr.2020.304439.668648

Mohammad Ansari ghojghar; Masoud Pourgholam-Amiji; Shahab Araghinejad


Performance Evaluation of Genetic Algorithm and GA-SA Hybrid Method in Forecasting Dust Storms (Case Study: Khuzestan Province)

Volume 51, Issue 10, December 2020, Pages 2623-2639

10.22059/ijswr.2020.303365.668628

Mohammad Ansari ghojghar; Masoud Pourgholam-Amiji; Javad Bazrafshan; Shahab Araghinejad; Abdolmajid Liaghat; Seyed-Mohammad Hosseini-Moghari


Performance Comparison of Statistical, Fuzzy and Perceptron Neural Network Models in Forecasting Dust Storms in Critical Regions in Iran

Volume 51, Issue 8, October 2020, Pages 2051-2063

10.22059/ijswr.2020.302529.668607

Mohammad Ansari ghojghar; Masoud Pourgholam-Amiji; Javad Bazrafshan; Abdolmajid Liaghat; Shahab Araghinejad


Trend Analysis of Dusty Days Frequency and its Correlation with Climatic Variables (Case Study: Lorestan Province)

Volume 50, Issue 9, January 2020, Pages 2289-2301

10.22059/ijswr.2018.259959.667940

Mohammad Ansari ghojghar; Shahab Araghinejad; javad Bazrafshan; A.H. Hoorfar