A Review of data fusion models and architectures: towards engineering guidelines. - Jaime Esteban; Andrew Starr 001; Robert Willetts; Paul Hannah; Peter Bryanston-Cross (Neural Comput. Appl., 2005)

An intelligent maintenance system for continuous cost-based prioritisation of maintenance activities. - William J. Moore; Andrew G. Starr (Comput. Ind., 2006)

An Intelligent Framework and Prototype for Autonomous Maintenance Planning in the Rail Industry. - Chris J. Turner; Ashutosh Tiwari 001; Andrew Starr 001; Isidro Durazo-Cardenas; Kevin Blacktop (VEHITS, 2015)

Egomotion estimation for monocular camera visual odometer. - Maurizio Bevilacqua 002; Antonios Tsourdos; Andrew Starr 001 (I2MTC, 2016)

Particle swarm for path planning in a racing circuit simulation. - Maurizio Bevilacqua 002; Antonios Tsourdos; Andrew Starr 001 (I2MTC, 2017)

Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions. - Ejay Nsugbe; Cristobal Ruiz-Carcel; Andrew Starr 001; Ian Jennions (Sensors, 2018)

Data-Based Detection and Diagnosis of Faults in Linear Actuators. - Cristobal Ruiz-Carcel; Andrew Starr 001 (IEEE Trans. Instrum. Meas., 2018)

Online change detection techniques in time series: An overview. - Bernadin Namoano; Andrew Starr 001; Christos Emmanouilidis; Cristobal Ruiz-Carcel (ICPHM, 2019)

An Overview of Web Robots Detection Techniques. - Hanlin Chen; Hongmei He; Andrew Starr 001 (Cyber Security, 2020)

Hybrid modelling for linear actuator diagnosis in absence of faulty data records. - Kerman López de Calle-Etxabe; Cristobal Ruiz-Carcel; Andrew Starr 001; Susana Ferreiro; Aitor Arnaiz 001; Meritxell Gómez-Omella; Basilio Sierra (Comput. Ind., 2020)

Ontology-Based Context Modeling in Physical Asset Integrity Management. - Ali Al-Shdifat; Christos Emmanouilidis; Muhammad A. Khan 006; Andrew Starr 001 (Frontiers Comput. Sci., 2020)

A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation. - Thomas Fleet; Khangamlung Kamei; Feiyang He; Muhammad A. Khan 006; Kamran A Khan; Andrew Starr 001 (Sensors, 2020)

A Novel Inspection Technique for Electronic Components Using Thermography (NITECT). - Haochen Liu; Lawrence Tinsley; Wayne Lam; Sri Addepalli; Xiaochen Liu; Andrew Starr 001; Yifan Zhao 001 (Sensors, 2020)

Towards an Autonomous RIRS: Design, Structure Investigation and Framework. - Miftahur Rahman; Haochen Liu; Isidro Durazo-Cardenas; Andrew Starr 001; Amanda Hall; Robert Anderson (ICMRE, 2021)

Review of Current Guided Wave Ultrasonic Testing (GWUT) Limitations and Future Directions. - Samuel Chukwuemeka Olisa; Muhammad A. Khan 006; Andrew Starr 001 (Sensors, 2021)

Challenges for a Railway Inspection and Repair System from Railway Infrastructure. - Miftahur Rahman; Masoumeh Rahimi; Andrew Starr 001; Isidro Durazo-Cardenas; Amanda Hall; Robert Anderson (ICCMA, 2022)

A Review on Technologies for Localisation and Navigation in Autonomous Railway Maintenance Systems. - Masoumeh Rahimi; Haochen Liu; Isidro Durazo-Cardenas; Andrew Starr 001; Amanda Hall; Robert Anderson (Sensors, 2022)

Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets. - Minoru Shimizu; Suresh Perinpanayagam; Bernadin Namoano; Andrew Starr 001 (IEEE Access, 2023)

Suitability Analysis of Machine Learning Algorithms for Crack Growth Prediction Based on Dynamic Response Data. - Intisar Omar; Muhammad A. Khan 006; Andrew Starr 001 (Sensors, 2023)

A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy. - Miftahur Rahman; Haochen Liu; Mohammed Masri; Isidro Durazo-Cardenas; Andrew Starr 001 (Comput. Ind., 2023)

An autonomous rail-road amphibious robotic system for railway maintenance using sensor fusion and mobile manipulator. - Haochen Liu; Miftahur Rahman; Masoumeh Rahimi; Andrew Starr 001; Isidro Durazo-Cardenas; Cristobal Ruiz-Carcel; Agusmian Partogi Ompusunggu; Amanda Hall; Robert Anderson (Comput. Electr. Eng., 2023)

Neural network-based parametric system identification: a review. - Aoxiang Dong; Andrew Starr 001; Yifan Zhao 001 (Int. J. Syst. Sci., 2023)

Automated Prediction of Crack Propagation Using H2O AutoML. - Intisar Omar; Muhammad A. Khan 006; Andrew Starr 001; Khaled Abou Rok Ba (Sensors, 2023)

Elastic Wave Mechanics in Damaged Metallic Plates. - Samuel Chukwuemeka Olisa; Muhammad A. Khan 006; Andrew Starr 001 (Symmetry, 2023)

Explainable and interpretable bearing fault classification and diagnosis under limited data. - Luis Magadán; Cristobal Ruiz-Carcel; Juan C. Granda; Francisco J. Suárez; Andrew Starr 001 (Adv. Eng. Informatics, 2024)

Detecting wheel slip from railway operational data through a combined wavelet, long short-term memory and neural network classification method. - Bernadin Namoano; Christos Emmanouilidis; Andrew Starr 001 (Eng. Appl. Artif. Intell., 2024)

A Fiber-Guided Motorized Rotation Laser Scanning Thermography Technique for Impact Damage Crack Inspection in Composites. - Haochen Liu; Lawrence Tinsley; Kailun Deng; Yizhong Wang; Andrew Starr 001; Zhenmao Chen; Yifan Zhao 001 (IEEE Trans. Ind. Electron., 2024)

End-to-end Identification of Autoregressive with Exogenous Input (ARX) Models Using Neural Networks. - Aoxiang Dong; Andrew Starr 001; Yifan Zhao 001 (Mach. Intell. Res., 2025)