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ORCIDHamed Sabahno
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2020 – today
- 2024
[j7]Patrik Hric, Hamed Sabahno
:
Developing Machine Learning-based Control Charts for Monitoring Different GLM-type Profiles With Different Link Functions. Appl. Artif. Intell. 38(1) (2024)- [j6]Hamed Sabahno, Michael B. C. Khoo:
A multivariate adaptive control chart for simultaneously monitoring of the process parameters. Commun. Stat. Simul. Comput. 53(4): 2031-2049 (2024) - 2023
- [j5]Hamed Sabahno, Amirhossein Amiri:
New statistical and machine learning based control charts with variable parameters for monitoring generalized linear model profiles. Comput. Ind. Eng. 184: 109562 (2023) - 2021
- [j4]Hamed Sabahno, Amirhossein Amiri, Philippe Castagliola:
A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes. Comput. Ind. Eng. 151: 106524 (2021) - 2020
- [j3]Hamed Sabahno, Philippe Castagliola, Amirhossein Amiri:
A variable parameters multivariate control chart for simultaneous monitoring of the process mean and variability with measurement errors. Qual. Reliab. Eng. Int. 36(4): 1161-1196 (2020)
2010 – 2019
- 2019
- [j2]Hamed Sabahno, Seyed Meysam Mousavi, Amirhossein Amiri:
A new development of an adaptive X - R control chart under a fuzzy environment. Int. J. Data Min. Model. Manag. 11(1): 19-44 (2019) - 2018
- [j1]Hamed Sabahno, Amirhossein Amiri, Philippe Castagliola:
Evaluating the effect of measurement errors on the performance of the variable sampling intervals Hotelling's T2 control charts. Qual. Reliab. Eng. Int. 34(8): 1785-1799 (2018)
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