A hybrid ant colony, Markov chain, and experimental design approach for statistically constrained economic design of MEWMA control charts. - Seyed Taghi Akhavan Niaki; Mohammad Javad Ershadi (Expert Syst. Appl., 2012)

A parameter-tuned genetic algorithm for statistically constrained economic design of multivariate CUSUM control charts: a Taguchi loss approach. - Seyed Taghi Akhavan Niaki; Mohammad Javad Ershadi (Int. J. Syst. Sci., 2012)

Economic and Economic-Statistical Designs of Phase II Profile Monitoring. - Rassoul Noorossana; Seyed Taghi Akhavan Niaki; Mohammad Javad Ershadi (Qual. Reliab. Eng. Int., 2014)

Information Security Risk Management of Research Information Systems: A hybrid approach of Fuzzy FMEA, AHP, TOPSIS and Shannon Entropy. - Mohammad Javad Ershadi; Mehrdad Forouzandeh (J. Digit. Inf. Manag., 2019)

Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM. - Otmane Azeroual; Mohammad Javad Ershadi; Amir Azizi; Melikasadat Banihashemi; Reza Edris Abadi (Informatica (Slovenia), 2021)

An economic-statistical design of simple linear profiles with multiple assignable causes using a combination of MOPSO and RSM. - Mohammad Javad Ershadi; Mohammad Mahdi Ershadi; S. Haghighi Naeini; Seyed Taghi Akhavan Niaki (Soft Comput., 2021)

Multi-objective economic-statistical design of simple linear profiles using a combination of NSGA-II, RSM, and TOPSIS. - N. Roshanbin; Mohammad Javad Ershadi; Seyed Taghi Akhavan Niaki (Commun. Stat. Simul. Comput., 2022)

Organisational safety assessment using combined method of FMEA and fuzzy inference system: a case study. - Hamideh Kamyab; Mohammad Javad Ershadi; Mehdi Mohammadi (Int. J. Adv. Oper. Manag., 2022)

LVTIA: A new method for keyphrase extraction from scientific video lectures. - Hamid Hassani; Mohammad Javad Ershadi; Azadeh Mohebi (Inf. Process. Manag., 2022)

Monitoring data quality using hoteling T2 multivariate control chart. - Mohammad Javad Ershadi; Seyed Taghi Akhavan Niaki; Amir Azizi; Aynaz Ashtarian Esfahani; Reza Edris Abadi (Commun. Stat. Simul. Comput., 2023)

A novel data quality framework for assessment of scientific lecture video indexing. - Hamid Hassani; Azadeh Mohebi; Mohammad Javad Ershadi; Ammar Jalalimanesh (Libr. Hi Tech, 2025)