Design of a non-linear hybrid car suspension system using neural networks. - Konstantinos Spentzas; Stratis A. Kanarachos (Math. Comput. Simul., 2002)

Experimental evaluation of optimal Vehicle Dynamic Control based on the State Dependent Riccati Equation technique. - M. Alirezaei; Stratis Kanarachos; Bart Scheepers; J. P. Maurice (ACC, 2013)

A new min-max methodology for computing optimised obstacle avoidance steering manoeuvres of ground vehicles. - Stratis Kanarachos (Int. J. Syst. Sci., 2014)

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)

Intelligent road adaptive suspension system design using an experts' based hybrid genetic algorithm. - Stratis Kanarachos; Andreas Kanarachos (Expert Syst. Appl., 2015)

Vehicle agile maneuvering: From rally drivers to a finite state machine approach. - Manuel Acosta; Stratis Kanarachos; Mike Blundell 001 (SSCI, 2016)

Robust brake linings friction coefficient estimation for enhancement of ehb control. - Vincenzo Ricciardi; Manuel Acosta; Klaus Augsburg; Stratis Kanarachos; Valentin G. Ivanov (ICAT, 2017)

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)

Sensor based Prediction of Human Driving Decisions using Feed forward Neural Networks for Intelligent Vehicles. - Shriram C. Jugade; Alessandro Corrêa Victorino; Véronique Berge-Cherfaoui; Stratis Kanarachos (ITSC, 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)

Teaching a vehicle to autonomously drift: A data-based approach using Neural Networks. - Manuel Acosta; Stratis Kanarachos (Knowl. Based Syst., 2018)

Tire lateral force estimation and grip potential identification using Neural Networks, Extended Kalman Filter, and Recursive Least Squares. - Manuel Acosta; Stratis Kanarachos (Neural Comput. Appl., 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)

DigiCAV project: Exploring a Test-Driven Approach in the Development of Connected and Autonomous Vehicles. - Ioannis Kyriakopoulos; Pawel Jaworski; Stratis Kanarachos (ICCVE, 2019)

Machine Learning Algorithms for Wet Road Surface Detection Using Acoustic Measurements. - M. Kalliris; Stratis Kanarachos; Rigas Kotsakis; Olivier C. L. Haas; Mike Blundell 001 (ICM, 2019)

Generation of Pedestrian Pose Structures using Generative Adversarial Networks. - James Spooner; Madeline Cheah; Vasile Palade; Stratis Kanarachos; Alireza Daneshkhah (ICMLA, 2019)

Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification. - Felix Batsch; Alireza Daneshkhah; Madeline Cheah; Stratis Kanarachos; Anthony Baxendale (ITSC, 2019)

Visual and Thermal Data for Pedestrian and Cyclist Detection. - Sarfraz Ahmed; Md. Nazmul Huda; Sujan Rajbhandari; Chitta Saha; Mark Elshaw; Stratis Kanarachos (TAROS (2), 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)

The Correlation between Vehicle Vertical Dynamics and Deep Learning-Based Visual Target State Estimation: A Sensitivity Study. - Yannik Weber; Stratis Kanarachos (Sensors, 2019)

Learning Driver Braking Behavior Using Smartphones, Neural Networks and the Sliding Correlation Coefficient: Road Anomaly Case Study. - Stavros-Richard G. Christopoulos; Stratis Kanarachos; Alexander Chroneos (IEEE Trans. Intell. Transp. Syst., 2019)

Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments. - Uche Onyekpe; Vasile Palade; Stratis Kanarachos; Stavros-Richard G. Christopoulos (ICMLA, 2020)

Classification of a Pedestrian's Behaviour Using Dual Deep Neural Networks. - James Spooner; Madeline Cheah; Vasile Palade; Stratis Kanarachos; Alireza Daneshkhah (SAI (3), 2020)

Automated post-processing for sheet metal component manufacturing. - Maninder Sehmi; Jesper Christensen; Christophe Bastien; Alexis Wilson; Stratis Kanarachos (Adv. Eng. Softw., 2020)

Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS). - Uche Onyekpe; Vasile Palade; Stratis Kanarachos (CoRR, 2020)

Accurate ride comfort estimation combining accelerometer measurements, anthropometric data and neural networks. - Maciej Cieslak; Stratis Kanarachos; Mike Blundell 001; Cyriel Diels; Mark Burnett; Anthony Baxendale (Neural Comput. Appl., 2020)

Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios. - James Spooner; Vasile Palade; Alireza Daneshkhah; Stratis Kanarachos (ICMLA, 2021)

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)

A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion. - Uche Onyekpe; Vasile Palade; Stratis Kanarachos; Stavros-Richard G. Christopoulos (Inf., 2021)

Produce Harvesting by Laser Stem-Cutting. - Mohamed Sorour; Pål Johan From; Khaled Elgeneidy; Stratis Kanarachos; Mohamed Sallam (CASE, 2022)

Compact Strawberry Harvesting Tube Employing Laser Cutter. - Mohamed Sorour; Pål Johan From; Khaled Elgeneidy; Stratis Kanarachos; Mohamed Sallam (IROS, 2022)

A taxonomy of validation strategies to ensure the safe operation of highly automated vehicles. - Felix Batsch; Stratis Kanarachos; Madeline Cheah; Roberto Ponticelli; Mike Blundell 001 (J. Intell. Transp. Syst., 2022)

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)