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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Number of items: 12.


Coraddu, Andrea and Oneto, Luca and Navas de Maya, Beatriz and Kurt, Rafet (2020) Determining the most influential human factors in maritime accidents : a data-driven approach. Ocean Engineering, 211. 107588. ISSN 0029-8018

Miglianti, Leonardo and Cipollini, Francesca and Oneto, Luca and Tani, Giorgio and Gaggero, Stefano and Coraddu, Andrea and Viviani, Michele (2020) Predicting the cavitating marine propeller noise at design stage : A deep learning based approach. Ocean Engineering, 209. 107481. ISSN 0029-8018


Uzun, Dogancan and Demirel, Yigit Kemal and Coraddu, Andrea and Turan, Osman (2019) Time-dependent biofouling growth model for predicting the effects of biofouling on ship resistance and powering. Ocean Engineering, 191. 106432. ISSN 0029-8018

Coraddu, Andrea and Oneto, Luca and Baldi, Francesco and Cipollini, Francesca and Atlar, Mehmet and Savio, Stefano (2019) Data-driven ship digital twin for estimating the speed loss caused by the marine fouling. Ocean Engineering, 186. 106063. ISSN 0029-8018

Uzun, Dogancan and Demirel, Yigit Kemal and Coraddu, Andrea and Turan, Osman (2019) Life cycle assessment of an antifouling coating based on time-dependent biofouling model. In: 18th Conference on Computer Applications and Information Technology in the Maritime Industries, 2019-03-25 - 2019-03-27.

Coraddu, Andrea and Lim, Serena and Oneto, Luca and Pazouki, Kayvan and Norman, Rose and Murphy, Alan John (2019) A novelty detection approach to diagnosing hull and propeller fouling. Ocean Engineering, 176. pp. 65-73. ISSN 0029-8018


Cipollini, Francesca and Oneto, Luca and Coraddu, Andrea and Savio, Stefano and Anguita, Davide (2018) Unintrusive monitoring of induction motors bearings via deep learning on stator currents. Procedia Computer Science, 144. pp. 42-51. ISSN 1877-0509

Cipollini, Francesca and Oneto, Luca and Coraddu, Andrea and Murphy, Alan John and Anguita, Davide (2018) Condition-based maintenance of naval propulsion systems : data analysis with minimal feedback. Reliability Engineering and System Safety, 177. pp. 12-23. ISSN 0951-8320

Orlandi, Andrea and Guarnieri, Francesca and Busillo, Caterina and Calastrini, Francesca and Coraddu, Andrea; (2018) Air quality simulations and forecasting of along-route ship emissions in realistic meteo-marine scenarios. In: Technology and Science for the Ships of the Future. NAV International Conference on Ship and Shipping Research . IOS Press, ITA, pp. 452-461. ISBN 978-1614998693

Cipollini, Francesca and Oneto, Luca and Coraddu, Andrea and Murphy, Alan John and Anguita, Davide (2018) Condition-based maintenance of naval propulsion systems with supervised data analysis. Ocean Engineering, 149. pp. 268-278. ISSN 0029-8018


Oneto, Luca and Coraddu, Andrea and Sanetti, Paolo and Karpenko, Olena and Cipollini, Francesca and Cleophas, Toine and Anguita, Davide; (2017) Marine safety and data analytics : vessel crash stop maneuvering performance prediction. In: Artificial Neural Networks and Machine Learning – ICANN 2017. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer-Verlag, ITA, pp. 385-393. ISBN 9783319686110


Dubbioso, Giulio and Coraddu, A. and Viviani, M. and Figari, M. and Mauro, S. and Depascale, R. and Menna, A. and Manfredini, A.; (2010) Investigation of asymmetrical shaft power increase during ship maneuvers by means of simulation techniques. In: 11th International Symposium on Practical Design of Ships and Other Floating Structures, PRADS 2010. COPPE-URRJ, BRA, pp. 172-181. ISBN 9788528501407

This list was generated on Sat Aug 8 19:49:20 2020 BST.