Ali Yeganeh

According to our database, Ali Yeganeh authored at least 18 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improved EWMA schemes for monitoring the ratio of two normal random variables.

Xuelong Hu, Yitian Zhao, Ali Yeganeh, Sandile Charles Shongwe

Qual. Reliab. Eng. Int., April, 2024

Evolutionary support vector regression for monitoring Poisson profiles.

Ali Yeganeh, Saddam Akber Abbasi, Sandile Charles Shongwe, Jean-Claude Malela-Majika, Alireza Shadman

Soft Comput., March, 2024

The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics.

Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova

Eng. Appl. Artif. Intell., January, 2024

Monitoring multistage healthcare processes using state space models and a machine learning based framework.

Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova, Mohammad Rasouli

Artif. Intell. Medicine, 2024

2023

A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders.

Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova, Mahdiyeh Erfanian, Mahmoud Reza Azarpazhooh, Negar Morovatdar

Artif. Intell. Medicine, December, 2023

Employing machine learning techniques in monitoring autocorrelated profiles.

Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova, Saddam Akber Abbasi, Farhad Pourpanah

Neural Comput. Appl., August, 2023

A network surveillance approach using machine learning based control charts.

Ali Yeganeh, Nataliya Chukhrova, Arne Johannssen, Hatef Fotuhi

Expert Syst. Appl., June, 2023

Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance.

Ali Yeganeh, Alireza Shadman, Sandile Charles Shongwe, Saddam Akber Abbasi

Neural Comput. Appl., May, 2023

Monitoring simple linear profiles in the presence of within- and between-profile autocorrelation.

Adel Ahmadi Nadi, Ali Yeganeh, Alireza Shadman

Qual. Reliab. Eng. Int., April, 2023

2022

Correction to: Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model.

Ali Yeganeh, Alireza Shadman, Saddam Akber Abbasi

Neural Comput. Appl., 2022

Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model.

Ali Yeganeh, Alireza Shadman, Saddam Akber Abbasi

Neural Comput. Appl., 2022

An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring.

Ali Yeganeh, Saddam Akbar Abbasi, Farhad Pourpanah, Alireza Shadman, Arne Johannssen, Nataliya Chukhrova

Expert Syst. Appl., 2022

2021

Monitoring linear profiles using Artificial Neural Networks with run rules.

Ali Yeganeh, Alireza Shadman

Expert Syst. Appl., 2021

A novel run rules based MEWMA scheme for monitoring general linear profiles.

Ali Yeganeh, Alireza Shadman, Amirhossein Amiri

Comput. Ind. Eng., 2021

Monitoring logistic profiles using variable sample interval approach.

Mohammad Mohammadzadeh, Ali Yeganeh, Alireza Shadman

Comput. Ind. Eng., 2021

An ANN-based ensemble model for change point estimation in control charts.

Ali Yeganeh, Farhad Pourpanah, Alireza Shadman

Appl. Soft Comput., 2021

Run Rules-Based EWMA Charts for Efficient Monitoring of Profile Parameters.

Ali Yeganeh, Alireza Shadman, Ioannis S. Triantafyllou, Sandile Charles Shongwe, Saddam Akber Abbasi

IEEE Access, 2021

A Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles.

Ali Yeganeh, Saddam Akbar Abbasi, Sandile Charles Shongwe

IEEE Access, 2021