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ORCIDAli Yeganeh
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2020 – today
- 2024
[j18]Ali Yeganeh
, Arne Johannssen, Nataliya Chukhrova, Mohammad Rasouli:
Monitoring multistage healthcare processes using state space models and a machine learning based framework. Artif. Intell. Medicine 151: 102826 (2024)- [j17]Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova:
The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics. Eng. Appl. Artif. Intell. 127(Part B): 107282 (2024) - [j16]Xuelong Hu, Yitian Zhao, Ali Yeganeh, Sandile Charles Shongwe:
Improved EWMA schemes for monitoring the ratio of two normal random variables. Qual. Reliab. Eng. Int. 40(3): 1341-1360 (2024) - [j15]Ali Yeganeh, Saddam Akber Abbasi, Sandile Charles Shongwe, Jean-Claude Malela-Majika, Alireza Shadman:
Evolutionary support vector regression for monitoring Poisson profiles. Soft Comput. 28(6): 4873-4897 (2024) - 2023
- [j14]Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova, Mahdiyeh Erfanian, Mahmoud Reza Azarpazhooh, Negar Morovatdar:
A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders. Artif. Intell. Medicine 146: 102689 (2023) - [j13]Ali Yeganeh, Nataliya Chukhrova, Arne Johannssen, Hatef Fotuhi:
A network surveillance approach using machine learning based control charts. Expert Syst. Appl. 219: 119660 (2023) - [j12]Ali Yeganeh, Alireza Shadman, Sandile Charles Shongwe, Saddam Akber Abbasi:
Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance. Neural Comput. Appl. 35(14): 10677-10693 (2023) - [j11]Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova, Saddam Akber Abbasi, Farhad Pourpanah:
Employing machine learning techniques in monitoring autocorrelated profiles. Neural Comput. Appl. 35(22): 16321-16340 (2023) - [j10]Adel Ahmadi Nadi, Ali Yeganeh, Alireza Shadman:
Monitoring simple linear profiles in the presence of within- and between-profile autocorrelation. Qual. Reliab. Eng. Int. 39(3): 752-775 (2023) - 2022
- [j9]Ali Yeganeh, Saddam Akbar Abbasi, Farhad Pourpanah, Alireza Shadman, Arne Johannssen, Nataliya Chukhrova:
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring. Expert Syst. Appl. 204: 117572 (2022) - [j8]Ali Yeganeh, Alireza Shadman, Saddam Akber Abbasi:
Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model. Neural Comput. Appl. 34(12): 9733-9757 (2022) - [j7]Ali Yeganeh, Alireza Shadman, Saddam Akber Abbasi:
Correction to: Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model. Neural Comput. Appl. 34(23): 21403 (2022) - 2021
- [j6]Ali Yeganeh, Alireza Shadman, Ioannis S. Triantafyllou, Sandile Charles Shongwe, Saddam Akber Abbasi:
Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters. IEEE Access 9: 38503-38521 (2021) - [j5]Ali Yeganeh, Saddam Akbar Abbasi, Sandile Charles Shongwe:
A Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles. IEEE Access 9: 124268-124280 (2021) - [j4]Ali Yeganeh, Farhad Pourpanah, Alireza Shadman:
An ANN-based ensemble model for change point estimation in control charts. Appl. Soft Comput. 110: 107604 (2021) - [j3]Ali Yeganeh, Alireza Shadman, Amirhossein Amiri:
A novel run rules based MEWMA scheme for monitoring general linear profiles. Comput. Ind. Eng. 152: 107031 (2021) - [j2]Mohammad Mohammadzadeh, Ali Yeganeh, Alireza Shadman:
Monitoring logistic profiles using variable sample interval approach. Comput. Ind. Eng. 158: 107438 (2021) - [j1]Ali Yeganeh, Alireza Shadman:
Monitoring linear profiles using Artificial Neural Networks with run rules. Expert Syst. Appl. 168: 114237 (2021)
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