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ORCIDMichael E. Fitzpatrick
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- affiliation: Coventry University, Research Centre for Data Science / Institute for Future Transport and Cities, UK
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2020 – today
- 2022
[i3]Uche Onyekpe, Alicja Szkolnik, Vasile Palade, Stratis Kanarachos, Michael E. Fitzpatrick:
R-WhONet: Recalibrated Wheel Odometry Neural Network for Vehicular Positioning using Transfer Learning. CoRR abs/2209.05877 (2022)- 2021
- [j11]Uche Onyekpe
, Vasile Palade, Anuradha Herath, Stratis Kanarachos, Michael E. Fitzpatrick:
WhONet: Wheel Odometry neural Network for vehicular localisation in GNSS-deprived environments. Eng. Appl. Artif. Intell. 105: 104421 (2021) - [i2]Uche Onyekpe, Vasile Palade, Anuradha Herath, Stratis Kanarachos, Michael E. Fitzpatrick, Stavros-Richard G. Christopoulos:
WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments. CoRR abs/2104.02581 (2021)
2010 – 2019
- 2019
- [j10]Lorena Caires Moreira, Weidong Li, Xin Lu, Michael E. Fitzpatrick:
Supervision controller for real-time surface quality assurance in CNC machining using artificial intelligence. Comput. Ind. Eng. 127: 158-168 (2019) - [j9]Stratis Kanarachos, Jino Mathew, Michael E. Fitzpatrick:
Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks. Expert Syst. Appl. 120: 436-447 (2019) - [j8]Lorena Caires Moreira, W. D. Li, Xin Lu, Michael E. Fitzpatrick:
Energy-Efficient machining process analysis and optimisation based on BS EN24T alloy steel as case studies. Robotics Comput. Integr. Manuf. 58: 1-12 (2019) - [c8]Marcel Van de Voorde, Michael E. Fitzpatrick:
Discovery and Innovation in Science and Technology: Inter- and trans-disciplinary in cognitive learning. ICCI*CC 2019: 261-264 - [i1]Uche Onyekpe, Stratis Kanarachos, Michael E. Fitzpatrick:
Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem. CoRR abs/1909.11143 (2019) - 2018
- [j7]Stratis Kanarachos, Arash Moradinegade Dizqah, Georgios Chrysakis, Michael E. Fitzpatrick:
Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation. Appl. Soft Comput. 62: 463-477 (2018) - [j6]Jino Mathew, James M. Griffin, Miltiadis Alamaniotis, Stratis Kanarachos, Michael E. Fitzpatrick:
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems. Appl. Soft Comput. 70: 131-146 (2018) - [j5]Miltiadis Alamaniotis, Jino Mathew, Alexander Chroneos, Michael E. Fitzpatrick, Lefteri H. Tsoukalas:
Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems. Eng. Appl. Artif. Intell. 71: 138-154 (2018) - [j4]Anton S. Tremsin, Winfried Kockelmann, Joe F. Kelleher, Anna M. Paradowska, Ranggi S. Ramadhan, Michael E. Fitzpatrick:
Energy-Resolved Neutron Imaging for Reconstruction of Strain Introduced by Cold Working. J. Imaging 4(3): 48 (2018) - [j3]Stratis Kanarachos, Dzmitry Savitski, Nikos D. Lagaros, Michael E. Fitzpatrick:
Automotive magnetorheological dampers: modelling and parameter identification using contrast-based fruit fly optimisation. Soft Comput. 22(24): 8131-8149 (2018) - [j2]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
Robust Virtual Sensing for Vehicle Agile Manoeuvring: A Tyre-Model-Less Approach. IEEE Trans. Veh. Technol. 67(3): 1894-1908 (2018) - [c7]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
On full MAGV lateral dynamics exploitation: Autonomous drift control. AMC 2018: 529-534 - 2017
- [j1]Stratis Kanarachos, Stavros-Richard G. Christopoulos, Alexander Chroneos, Michael E. Fitzpatrick:
Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform. Expert Syst. Appl. 85: 292-304 (2017) - [c6]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
A Hybrid Hierarchical Rally Driver Model for Autonomous Vehicle Agile Maneuvering on Loose Surfaces. ICINCO (2) 2017: 216-225 - [c5]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
A Virtual Sensor for Integral Tire Force Estimation using Tire Model-less Approaches and Adaptive Unscented Kalman Filter. ICINCO (1) 2017: 386-397 - [c4]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
Vehicle Dynamics Virtual Sensing Using Unscented Kalman Filter: Simulations and Experiments in a Driver-in-the-Loop Setup. ICINCO (Selected Papers) 2017: 582-602 - [c3]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
Accurate virtual sensing of vertical tire forces for enhanced handling dynamics. IECON 2017: 4009-4014 - [c2]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
Optimized tire force estimation using extended Kalman filter and fruit fly optimization. IECON 2017: 4074-4079 - 2015
- [c1]Stratis Kanarachos, Jino Mathew, Alexander Chroneos, Michael E. Fitzpatrick:
Anomaly detection in time series data using a combination of wavelets, neural networks and Hilbert transform. IISA 2015: 1-6
Coauthor Index
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