A Novel Simulation-Based Adaptive MEWMA Approach for Monitoring Linear and Logistic Profiles. - Ali Yeganeh; Saddam Akbar Abbasi; Sandile Charles Shongwe (IEEE Access, 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)

An ANN-based ensemble model for change point estimation in control charts. - Ali Yeganeh; Farhad Pourpanah; Alireza Shadman (Appl. Soft Comput., 2021)

Monitoring logistic profiles using variable sample interval approach. - Mohammad Mohammadzadeh; Ali Yeganeh; Alireza Shadman (Comput. Ind. Eng., 2021)

A novel run rules based MEWMA scheme for monitoring general linear profiles. - Ali Yeganeh; Alireza Shadman; Amirhossein Amiri (Comput. Ind. Eng., 2021)

Monitoring linear profiles using Artificial Neural Networks with run rules. - Ali Yeganeh; Alireza Shadman (Expert Syst. Appl., 2021)

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)

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)

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)

Monitoring simple linear profiles in the presence of within- and between-profile autocorrelation. - Adel Ahmadi Nadi; Ali Yeganeh; Alireza Shadman (Qual. Reliab. Eng. Int., 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., 2023)

A network surveillance approach using machine learning based control charts. - Ali Yeganeh; Nataliya Chukhrova; Arne Johannssen; Hatef Fotuhi (Expert Syst. Appl., 2023)

Employing machine learning techniques in monitoring autocorrelated profiles. - Ali Yeganeh; Arne Johannssen; Nataliya Chukhrova; Saddam Akber Abbasi; Farhad Pourpanah (Neural Comput. Appl., 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, 2023)

Monitoring multistage healthcare processes using state space models and a machine learning based framework. - Ali Yeganeh; Arne Johannssen; Nataliya Chukhrova; Mohammad Rasouli 004 (Artif. Intell. Medicine, 2024)

Two memory-based monitoring schemes for the ratio of two normal variables in short production runs. - Xuelong Hu; Yitian Zhao; Ali Yeganeh; Sandile Charles Shongwe (Comput. Ind. Eng., 2024)

The role of artificial intelligence in preoperative planning for Total Hip Arthroplasty: a systematic review. - Javad Khaje Mozafari; Seyed Ali Moshtaghioon; Seyed Mani Mahdavi; Alireza Ghaznavi; Morteza Behjat; Ali Yeganeh (Frontiers Artif. Intell., 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., 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., 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., 2024)

Explainable AI for trustworthy intelligent process monitoring. - Arne Johannssen; Peihua Qiu; Ali Yeganeh; Nataliya Chukhrova (Comput. Ind. Eng., 2025)

Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry. - Ali Yeganeh; Sandile Charles Shongwe; Adel Ahmadi Nadi; Mohsen Mehrab Ghuchani (Comput. Ind. Eng., 2025)

Autoencoders for monitoring Poisson-dependent process steps based on state space representation. - Ali Yeganeh; Fatemeh Sogandi; Sandile Charles Shongwe (Comput. Ind. Eng., 2025)

Using the attention layer mechanism in construction of a novel ratio control chart: An application to Ethereum price prediction and automated trading strategy. - Ali Yeganeh; Xuelong Hu; Sandile Charles Shongwe; Frans F. Koning (Eng. Appl. Artif. Intell., 2025)