Anomaly detection in time series data using a combination of wavelets, neural networks and Hilbert transform. - Stratis Kanarachos; Jino Mathew; Alexander Chroneos; Michael E. Fitzpatrick (IISA, 2015)

A Virtual Sensor for Integral Tire Force Estimation using Tire Model-less Approaches and Adaptive Unscented Kalman Filter. - Manuel Acosta; Stratis Kanarachos; Michael E. Fitzpatrick (ICINCO (1), 2017)

A Hybrid Hierarchical Rally Driver Model for Autonomous Vehicle Agile Maneuvering on Loose Surfaces. - Manuel Acosta; Stratis Kanarachos; Michael E. Fitzpatrick (ICINCO (2), 2017)

Vehicle Dynamics Virtual Sensing Using Unscented Kalman Filter: Simulations and Experiments in a Driver-in-the-Loop Setup. - Manuel Acosta; Stratis Kanarachos; Michael E. Fitzpatrick (ICINCO (Selected Papers), 2017)

Accurate virtual sensing of vertical tire forces for enhanced handling dynamics. - Manuel Acosta; Stratis Kanarachos; Michael E. Fitzpatrick (IECON, 2017)

Optimized tire force estimation using extended Kalman filter and fruit fly optimization. - Manuel Acosta; Stratis Kanarachos; Michael E. Fitzpatrick (IECON, 2017)

Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform. - Stratis Kanarachos; Stavros-Richard G. Christopoulos; Alexander Chroneos; Michael E. Fitzpatrick (Expert Syst. Appl., 2017)

On full MAGV lateral dynamics exploitation: Autonomous drift control. - Manuel Acosta; Stratis Kanarachos; Michael E. Fitzpatrick (AMC, 2018)

Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation. - Stratis Kanarachos; Arash Moradinegade Dizqah; Georgios Chrysakis; Michael E. Fitzpatrick (Appl. Soft Comput., 2018)

Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems. - Jino Mathew; James M. Griffin; Miltiadis Alamaniotis; Stratis Kanarachos; Michael E. Fitzpatrick (Appl. Soft Comput., 2018)

Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems. - Miltiadis Alamaniotis; Jino Mathew; Alexander Chroneos; Michael E. Fitzpatrick; Lefteri H. Tsoukalas (Eng. Appl. Artif. Intell., 2018)

Energy-Resolved Neutron Imaging for Reconstruction of Strain Introduced by Cold Working. - Anton S. Tremsin; Winfried Kockelmann; Joe F. Kelleher; Anna M. Paradowska; Ranggi S. Ramadhan; Michael E. Fitzpatrick (J. Imaging, 2018)

Automotive magnetorheological dampers: modelling and parameter identification using contrast-based fruit fly optimisation. - Stratis Kanarachos; Dzmitry Savitski; Nikos D. Lagaros; Michael E. Fitzpatrick (Soft Comput., 2018)

Robust Virtual Sensing for Vehicle Agile Manoeuvring: A Tyre-Model-Less Approach. - Manuel Acosta; Stratis Kanarachos; Michael E. Fitzpatrick (IEEE Trans. Veh. Technol., 2018)

Discovery and Innovation in Science and Technology: Inter- and trans-disciplinary in cognitive learning. - Marcel Van de Voorde; Michael E. Fitzpatrick (ICCI*CC, 2019)

Supervision controller for real-time surface quality assurance in CNC machining using artificial intelligence. - Lorena Caires Moreira; Weidong Li 001; Xin Lu 005; Michael E. Fitzpatrick (Comput. Ind. Eng., 2019)

Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem. - Uche Onyekpe; Stratis Kanarachos; Michael E. Fitzpatrick (CoRR, 2019)

Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks. - Stratis Kanarachos; Jino Mathew; Michael E. Fitzpatrick (Expert Syst. Appl., 2019)

Energy-Efficient machining process analysis and optimisation based on BS EN24T alloy steel as case studies. - Lorena Caires Moreira; W. D. Li; Xin Lu 005; Michael E. Fitzpatrick (Robotics Comput. Integr. Manuf., 2019)

WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments. - Uche Onyekpe; Vasile Palade; Anuradha Herath; Stratis Kanarachos; Michael E. Fitzpatrick; Stavros-Richard G. Christopoulos (CoRR, 2021)

WhONet: Wheel Odometry neural Network for vehicular localisation in GNSS-deprived environments. - Uche Onyekpe; Vasile Palade; Anuradha Herath; Stratis Kanarachos; Michael E. Fitzpatrick (Eng. Appl. Artif. Intell., 2021)

R-WhONet: recalibrated wheel odometry neural network for vehicular positioning using transfer learning. - Uche Onyekpe; Alicja Szkolnik; Vasile Palade; Stratis Kanarachos; Michael E. Fitzpatrick (Neural Comput. Appl., 2025)