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Nadia Brancati and Maria Frucci
To support pathologists in breast tumor diagnosis, deep learning plays a crucial role in the development of histological whole slide image (WSI) classification methods. However, automatic classification is challenging due to the high-resolution data and ...
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Bae-Seon Park and Hak-Tae Lee
This paper demonstrates the effectiveness of the Extended First-Come, First-Served (EFCFS) scheduler for integrated arrival and departure scheduling by comparing the scheduling results with the recorded operational data at Incheon International Airport (...
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Jason Cornelius, Sven Schmitz, Jose Palacios, Bernadine Juliano and Richard Heisler
This work details the development and validation of a methodology for high-resolution rotor models used in hybrid Blade Element Momentum Theory Unsteady Reynolds Averaged Navier?Stokes (BEMT-URANS) CFD. The methodology is shown to accurately predict sing...
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Esra?a Alkafaween, Ahmad Hassanat, Ehab Essa and Samir Elmougy
The genetic algorithm (GA) is a well-known metaheuristic approach for dealing with complex problems with a wide search space. In genetic algorithms (GAs), the quality of individuals in the initial population is important in determining the final optimal ...
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Chaopeng Yang, Jiacai Pan, Kai Wei, Mengjie Lu and Shihao Jia
Ocean currents make it difficult for unmanned surface vehicles (USVs) to keep a safe distance from obstacles. Effective path planning should adequately consider the effect of ocean currents on USVs. This paper proposes an improved A* algorithm based on a...
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