Andrew Starr

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 19

Top Topics

Dynamic Response

Machine Learning

Top Venues

Publications

Minoru Shimizu, Suresh Perinpanayagam, Bernadin Namoano, Andrew Starr
Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets. IEEE Access 11 (2023)
Intisar Omar, Muhammad A. Khan, Andrew Starr
Suitability Analysis of Machine Learning Algorithms for Crack Growth Prediction Based on Dynamic Response Data. Sensors 23 (3) (2023)
Miftahur Rahman, Haochen Liu, Mohammed Masri, Isidro Durazo-Cardenas, Andrew Starr
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy. Comput. Ind. 148 (2023)
Hamish Biggs, Andrew Starr, Brendon Smith, Steve de Lima, Julian Sykes, Arman Haddadchi, Graeme Smart, Murray Hicks
Kinematic Loggers - Development of Rugged Sensors and Recovery Systems for Field Measurements of Stone Rolling Dynamics and Impact Accelerations during Floods. Sensors 22 (3) (2022)
Masoumeh Rahimi, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson
A Review on Technologies for Localisation and Navigation in Autonomous Railway Maintenance Systems. Sensors 22 (11) (2022)
Miftahur Rahman, Masoumeh Rahimi, Andrew Starr, Isidro Durazo-Cardenas, Amanda Hall, Robert Anderson
Challenges for a Railway Inspection and Repair System from Railway Infrastructure. ICCMA (2022)
Samuel Chukwuemeka Olisa, Muhammad A. Khan, Andrew Starr
Review of Current Guided Wave Ultrasonic Testing (GWUT) Limitations and Future Directions. Sensors 21 (3) (2021)
Miftahur Rahman, Haochen Liu, Isidro Durazo-Cardenas, Andrew Starr, Amanda Hall, Robert Anderson
Towards an Autonomous RIRS: Design, Structure Investigation and Framework. ICMRE (2021)
Thomas Fleet, Khangamlung Kamei, Feiyang He, Muhammad A. Khan, Kamran A. Khan, Andrew Starr
A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation. Sensors 20 (23) (2020)
Kerman López de Calle-Etxabe, Cristobal Ruiz-Carcel, Andrew Starr, Susana Ferreiro, Aitor Arnaiz, Meritxell Gómez-Omella, Basilio Sierra
Hybrid modelling for linear actuator diagnosis in absence of faulty data records. Comput. Ind. 123 (2020)
Hanlin Chen, Hongmei He, Andrew Starr
An Overview of Web Robots Detection Techniques. Cyber Security (2020)
Ali Al-Shdifat, Christos Emmanouilidis, Muhammad A. Khan, Andrew Starr
Ontology-Based Context Modeling in Physical Asset Integrity Management. Frontiers Comput. Sci. 2 (2020)
Haochen Liu, Lawrence Tinsley, Wayne Lam, Sri Addepalli, Xiaochen Liu, Andrew Starr, Yifan Zhao
A Novel Inspection Technique for Electronic Components Using Thermography (NITECT). Sensors 20 (17) (2020)
Bernadin Namoano, Andrew Starr, Christos Emmanouilidis, Cristobal Ruiz-Carcel
Online change detection techniques in time series: An overview. ICPHM (2019)
Ejay Nsugbe, Cristobal Ruiz-Carcel, Andrew Starr, Ian Jennions
Estimation of Fine and Oversize Particle Ratio in a Heterogeneous Compound with Acoustic Emissions. Sensors 18 (3) (2018)
Cristobal Ruiz-Carcel, Andrew Starr
Data-Based Detection and Diagnosis of Faults in Linear Actuators. IEEE Trans. Instrum. Meas. 67 (9) (2018)
Maurizio Bevilacqua, Antonios Tsourdos, Andrew Starr
Particle swarm for path planning in a racing circuit simulation. I2MTC (2017)
Maurizio Bevilacqua, Antonios Tsourdos, Andrew Starr
Egomotion estimation for monocular camera visual odometer. I2MTC (2016)
Chris J. Turner, Ashutosh Tiwari, Andrew Starr, Isidro Durazo-Cardenas, Kevin Blacktop
An Intelligent Framework and Prototype for Autonomous Maintenance Planning in the Rail Industry. VEHITS (2015)
Jaime Esteban, Andrew Starr, Robert Willetts, Paul Hannah, Peter Bryanston-Cross
A Review of data fusion models and architectures: towards engineering guidelines. Neural Comput. Appl. 14 (4) (2005)