Michael E. Fitzpatrick

Orcid: 0000-0002-3618-6594

Affiliations:
  • Coventry University, Research Centre for Data Science / Institute for Future Transport and Cities, UK


According to our database1, Michael E. Fitzpatrick authored at least 22 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
R-WhONet: Recalibrated Wheel Odometry Neural Network for Vehicular Positioning using Transfer Learning.
CoRR, 2022

2021
WhONet: Wheel Odometry neural Network for vehicular localisation in GNSS-deprived environments.
Eng. Appl. Artif. Intell., 2021

WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments.
CoRR, 2021

2019
Energy-Efficient machining process analysis and optimisation based on BS EN24T alloy steel as case studies.
Robotics Comput. Integr. Manuf., 2019

Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks.
Expert Syst. Appl., 2019

Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem.
CoRR, 2019

Supervision controller for real-time surface quality assurance in CNC machining using artificial intelligence.
Comput. Ind. Eng., 2019

Discovery and Innovation in Science and Technology: Inter- and trans-disciplinary in cognitive learning.
Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018
Robust Virtual Sensing for Vehicle Agile Manoeuvring: A Tyre-Model-Less Approach.
IEEE Trans. Veh. Technol., 2018

Automotive magnetorheological dampers: modelling and parameter identification using contrast-based fruit fly optimisation.
Soft Comput., 2018

Energy-Resolved Neutron Imaging for Reconstruction of Strain Introduced by Cold Working.
J. Imaging, 2018

Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems.
Eng. Appl. Artif. Intell., 2018

Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems.
Appl. Soft Comput., 2018

Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation.
Appl. Soft Comput., 2018

On full MAGV lateral dynamics exploitation: Autonomous drift control.
Proceedings of the IEEE 15th International Workshop on Advanced Motion Control, 2018

2017
Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform.
Expert Syst. Appl., 2017

Optimized tire force estimation using extended Kalman filter and fruit fly optimization.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Accurate virtual sensing of vertical tire forces for enhanced handling dynamics.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Vehicle Dynamics Virtual Sensing Using Unscented Kalman Filter: Simulations and Experiments in a Driver-in-the-Loop Setup.
Proceedings of the Informatics in Control, Automation and Robotics, 2017

A Hybrid Hierarchical Rally Driver Model for Autonomous Vehicle Agile Maneuvering on Loose Surfaces.
Proceedings of the 14th International Conference on Informatics in Control, 2017

A Virtual Sensor for Integral Tire Force Estimation using Tire Model-less Approaches and Adaptive Unscented Kalman Filter.
Proceedings of the 14th International Conference on Informatics in Control, 2017

2015
Anomaly detection in time series data using a combination of wavelets, neural networks and Hilbert transform.
Proceedings of the 6th International Conference on Information, 2015


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