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Tai Huang, Kuangang Fan, Wen Sun, Weichao Li and Haoqi Guo
This paper proposes a random tree algorithm based on a potential field oriented greedy strategy for the path planning of unmanned aerial vehicles (UAVs). Potential-field-RRT (PF-RRT) discards the defect of traditional artificial potential field (APF) alg...
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Daniel Pauly, Chiara Piroddi, Lincoln Hood, Nicolas Bailly, Elaine Chu, Vicky Lam, Evgeny A. Pakhomov, Leonid K. Pshenichnov, Vladimir I. Radchenko and Maria Lourdes D. Palomares
Following a brief review of their biology, this contribution is an attempt to provide a global overview of the catches of mesopelagic fishes (of which 2.68 million tonnes were officially reported to the FAO) throughout the world ocean from 1950 to 2018, ...
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Jinghan Wang, Guangyue Li and Wenzhao Zhang
The powerful performance of deep learning is evident to all. With the deepening of research, neural networks have become more complex and not easily generalized to resource-constrained devices. The emergence of a series of model compression algorithms ma...
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Hualing Lin and Qiubi Sun
Accurately predicting the volatility of financial asset prices and exploring its laws of movement have profound theoretical and practical guiding significance for financial market risk early warning, asset pricing, and investment portfolio design. The tr...
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Spyros Kontogiannis, Andreas Paraskevopoulos and Christos Zaroliagis
We consider the problem of computing a set of meaningful alternative origin-to-destination routes, in real-world road network instances whose arcs are accompanied by travel-time functions rather than fixed costs. In this time-dependent alternative route ...
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João P. Monteiro, Rui M. Rocha, Alexandre Silva, Rúben Afonso and Nuno Ramos
Large-scale space projects rely on a thorough Assembly, Integration, and Verification (AIV) process to provide the upmost reliability to spacecraft. While this has not traditionally been the case with CubeSats, their increasing role in space science and ...
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