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Andrew S. Thelen, Dean E. Bryson, Bret K. Stanford and Philip S. Beran
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is excessively costly. The analysis of the governing physics is expensive, in particular for highly flexible aircraft, and the search for optima using analy...
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Craig Heatherington, Alistair Grinham, Irene Penesis, Scott Hunter and Remo Cossu
Marine renewable energy is still in its infancy and poses serious challenges due to the harsh marine conditions encountered for wave or tidal installations and the survivability of devices. Geophysical and hydrodynamic initial site surveys need to be abl...
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Zhandos Kegenbekov and Ilya Jackson
Adaptive and highly synchronized supply chains can avoid a cascading rise-and-fall inventory dynamic and mitigate ripple effects caused by operational failures. This paper aims to demonstrate how a deep reinforcement learning agent based on the proximal ...
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Christos Makris, Georgios Pispirigos and Ioannis Orestis Rizos
Presently, due to the extended availability of gigantic information networks and the beneficial application of graph analysis in various scientific fields, the necessity for efficient and highly scalable community detection algorithms has never been more...
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Joana C. Matos, Marco Laurenti, Veronica Vighetto, Laura C. J. Pereira, João Carlos Waerenborgh, M. Clara Gonçalves and Valentina Cauda
Conventional therapies to treat cancer often exhibit low specificity, reducing the efficiency of the treatment and promoting strong side effects. To overcome these drawbacks, new ways to fight cancer cells have been developed so far focusing on nanosyste...
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