Fault detection and diagnosis for general discrete-time stochastic systems using output probability density estimation. - Zakwan Skaf; Ahmad Al-Bayati; Hong Wang 001 (CDC/ECC, 2011)

Minimum entropy approach for robot manipulator. - Zakwan Skaf; Ahmad Al-Bayati; Hong Wang 001 (CDC/ECC, 2011)

Iterative fault tolerant control based on Stochastic Distribution. - Zakwan Skaf; Ahmad Al-Bayati; Hong Wang 001; Aiping Wang (CDC/ECC, 2011)

Data analytics development of FDR (Flight Data Recorder) data for airline maintenance operations. - Chang-Hun Lee; Hyo-Sang Shin; Antonios Tsourdos; Zakwan Skaf (MFI, 2017)

State of Health Estimation of Li-ion Batteries with Regeneration Phenomena: A Similar Rest Time-Based Prognostic Framework. - Taichun Qin; Shengkui Zeng; Jianbin Guo; Zakwan Skaf (Symmetry, 2017)

New Application of Data Analysis Using Aircraft Fault Record Data. - Chang-Hun Lee; Hyo-Sang Shin; Antonios Tsourdos; Zakwan Skaf (J. Aerosp. Inf. Syst., 2018)

Understanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM). - Cordelia Mattuvarkuzhali Ezhilarasu; Zakwan Skaf; Ian K. Jennions (SMC, 2019)

A Generalised Methodology for the Diagnosis of Aircraft Systems. - Cordelia Mattuvarkuzhali Ezhilarasu; Zakwan Skaf; Ian K. Jennions (IEEE Access, 2021)

Handling imbalanced data for aircraft predictive maintenance using the BACHE algorithm. - Maren David Dangut; Zakwan Skaf; Ian K. Jennions (Appl. Soft Comput., 2022)

A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach. - Maren David Dangut; Ian K. Jennions; Steve King 003; Zakwan Skaf (Neural Comput. Appl., 2023)

A machine learning-based clustering approach to diagnose multi-component degradation of aircraft fuel systems. - Haochen Liu; Yifan Zhao 001; Anna Zaporowska; Zakwan Skaf (Neural Comput. Appl., 2023)