Below are selected publications since the AVAILAB’s foundation in 2016.
The full list of publications by Dr Mauro S. Innocente is available here.
Journal Papers
- I. Papagiannis, M.S. Innocente, & E.I. Gkanas (2022). Synthesis and Characterisation of Iron Oxide Nanoparticles with Tunable Sizes by Hydrothermal Method. In Materials Science Forum, 1053, 176–181, Trans Tech Publications Ltd.
DOI: 10.4028/p-0so8ha - D. Rajput, J.M. Herreros, M.S. Innocente, J. Schaub, & A.M. Dizqah (2021). Electrified Powertrain with Multiple Planetary Gears and Corresponding Energy Management Strategy. Vehicles, 3, 341–356, MDPI.
DOI: 10.3390/vehicles3030021 - P. Grasso, & M.S. Innocente (2020). Physics-based model of wildfire propagation towards faster-than-real-time simulations. Computers and Mathematics with Applications, 80, 790-808, Elsevier.
DOI: 10.1016/j.camwa.2020.05.009 - A.M. Dizqah, B.L. Ballard, M.V. Blundell, S. Kanarachos, & M.S. Innocente (2020). A Non-Convex Control Allocation Strategy as Energy-Efficient Torque Distributors for On-Road and Off-Road Vehicles. Control Engineering Practice, 95, Elsevier.
DOI: 10.1016/j.conengprac.2019.104256 - M.S. Innocente, & P. Grasso (2019). Self-organising swarms of firefighting drones: Harnessing the power of collective intelligence in decentralised multi-robot systems. Journal of Computational Science, 34, 80-101, Elsevier.
DOI: 10.1016/j.jocs.2019.04.009
Book Chapters
- P. Grasso, & M.S. Innocente (2022). Stigmergy-based collision-avoidance algorithm for autonomous firefighting drone swarms. In: Smys, S., Tavares, J.M.R.S., Balas, V.E. (eds) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1420. Springer, Singapore.
DOI: 10.1007/978-981-16-9573-5_19 - J.J. Tai, M.S. Innocente, & O. Mehmood (2022). FasteNet: A Fast Railway Fastener Detector. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore.
DOI: 10.1007/978-981-16-2377-6_71. - M.S. Innocente (2021). Particle Swarms Reformulated towards a Unified and Flexible Framework. In: Tan Y., Shi Y. (eds.) Advances in Swarm Intelligence. ICSI 2021. Lecture Notes in Computer Science, vol 12689. Springer, Cham.
DOI: 10.1007/978-3-030-78743-1_25 - P. Grasso, & M.S. Innocente (2018). A two-dimensional reaction-advection-diffusion model of the spread of fire in wildlands. In Advances in Forest Fire Research 2018 (pp. 334-342). Imprensa da Universidade de Coimbra.
DOI: 10.14195/978-989-26-16-506_36
Conference Papers
- P. Grasso, & M.S. Innocente (2020). Debiasing of position estimations of UWB-based TDoA indoor positioning system. In Proceedings of the 2020 UK-RAS Conference: ‘Robots into the Real World’, Lincoln, UK (virtual), 2020.
DOI: 10.31256/Ua2Vp3X - P. Grasso, & M.S. Innocente (2020). Theoretical study of signal and geometrical properties of two-dimensional UWB-based indoor positioning systems using TDoA. In Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, Barcelona, Spain, 2020.
DOI: 10.1109/ICMRE49073.2020.9065121 - M.S. Innocente, & P. Grasso (2018). Swarm of autonomous drones self-organised to fight the spread of wildfires. In Proceedings of the GEOSAFE Workshop on Robust Solutions for Fire Fighting (Vol. 2146), L’Aquila, Italy, 2018. CEUR.
- M.S. Innocente, & P. Grasso (2018). Proof-of-Concept Swarm of Self-Organising Drones Aimed at Fighting Wildfires. In Proceedings of the 2017 UK-RAS Conference: ‘Robots Working for and among Us’, pp. 102–105, Bristol, UK, 2017.
Conference Posters
- D. Rajput, A.M. Dizqah, J.M. Herreros, & M.S. Innocente (2020). Effect of number of planetary gears on fuel consumption and vehicle performance in the hybrid powertrain of a passenger car. Poster session presented at the Future Powertrain Conference, Birmingham, UK.
- M.S. Innocente, & D.J. Rogers (2017). Thermal Modelling and Design Optimisation of DC-DC Converters. Poster session presented at EPSRC Centre for Power Electronics Annual Conference, Loughborough, UK.
MSc Theses
- Luke J. Smith (2019). Microscopic Traffic Modelling Using Cellular Automata.
Supervisor: Dr Mauro S. Innocente (Coventry University) - Thomas Staite (2019). Development of a Convolutional Neural Network for the Detection of Railway Track Maintenance.
Supervisor: Dr Mauro S. Innocente (Coventry University) - Paul E. Esugo (2018). Railway track following using Gazebo simulation and Erle-copter model.
Supervisor: Dr Mauro S. Innocente (Coventry University) - Matthew Sumner (2018). Development of a Convolutional ANN for Image Recognition to Detect Maintenance Issues in Railway Networks by Means of Autonomous Drones.
Supervisors: Dr Mauro S. Innocente & Magesh Nagarajan (Coventry University) - Ryan Barnes-Batterbee (2018). Designing and Implementing a Differential Evolution Algorithm to Train Artificial Neural Networks.
Supervisor: Dr Mauro S. Innocente (Coventry University) - Paolo Grasso (2017). Mathematical modelling of spread of fire underpinning algorithmic developments for autonomous swarms of firefighting drones.
Supervisor: Dr Mauro S. Innocente (Coventry University) - Brandon L. Ballard (2016). Simulated Firefighting Fleet of Autonomous Drones.
Supervisor: Dr Mauro S. Innocente (Coventry University)