Michael E. Fitzpatrick
Orcid: 0000-0002-3618-6594Affiliations:
- 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:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
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
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
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
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