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Open Access research that pioneers intelligent infrastructure

Strathprints makes available scholarly Open Access content by researchers in the Department of Civil & Environmental Engineering, based within the Faculty of Engineering.

Civil & Environmental Engineering hosts the Centre for Intelligent Infrastructure which harnesses techniques from a variety of sciences and engineering in order to solve problems surrounding safety and resilience of structures supporting energy generation, waste storage, transportation and urban infrastructure. The wider Department also demonstrates specialisms in ground engineering and energy geosciences, as well as environmental sustainability.

Explore the Open Access research of Civil & Environmental Engineering. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2020
Number of items: 5.

2020

Acciarini, Giacomo and Pinto, Francesco and Metz, Sascha and Boufelja, Sarah and Kaczmarek, Sylvester and Merz, Klaus and Martinez-Heras, José A. and Letizia, Francesca and Bridges, Christopher and Baydin, Atılım Güneş (2020) Spacecraft collision risk assessment with probabilistic programming. In: NeurIPS 2020, 2020-12-06 - 2020-12-12, Canada.

Pinto, Francesco and Acciarini, Giacomo and Metz, Sascha and Boufelja, Sarah and Kaczmarek, Sylvester and Merz, Klaus and Martinez-Heras, José A. and Letizia, Francesca and Bridges, Christopher and Baydin, Atılım Güneş (2020) Towards automated satellite conjunction management with Bayesian deep learning. In: NeurIPS 2020, 2020-12-06 - 2020-12-12, Canada.

Acciarini, Giacomo and Vasile, Massimiliano (2020) A multi-layer temporal network model of the space environment. In: 71st International Astronautical Congress, IAC 2020, 2020-10-12 - 2020-10-14.

Acciarini, Giacomo and Greco, Cristian and Vasile, Massimiliano (2020) On the solution of the Fokker-Planck equation without diffusion for uncertainty propagation in orbital dynamics. In: 2020 AAS/AIAA Astrodynamics Specialist Conference, 2020-08-09 - 2020-08-12, Lake Tahoe Resort Hotel.

Acciarini, Giacomo and Izzo, Dario and Mooij, Erwin (2020) MHACO : a multi-objective hypervolume-based ant colony optimizer for apace trajectory optimization. In: IEEE World Congress on Computational Intelligence (WCCI) 2020, 2020-07-19 - 2020-07-24, Online.

This list was generated on Tue Jan 19 22:08:37 2021 GMT.