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Zixiao Zhu, Lichuan Zhang, Lu Liu, Dongwei Wu, Shuchang Bai, Ranzhen Ren and Wenlong Geng
Positioning errors introduced by low-precision navigation devices can affect the overall accuracy of a positioning system. To address this issue, this paper proposes a master-slave multi-AUV collaborative navigation method based on hierarchical reinforce...
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Paschalia (Lia) Spyridou, Constantinos Djouvas and Dimitra Milioni
News recommending systems (NRSs) are algorithmic tools that filter incoming streams of information according to the users? preferences or point them to additional items of interest. In today?s high-choice media environment, attention shifts easily betwee...
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Piotr Stolarski, Wlodzimierz Lewoniewski and Witold Abramowicz
In this research we presented different approaches to investigate the possible relationships between the largest crowd-based knowledge source and the market potential of particular cryptocurrencies. Identification of such relations is crucial because the...
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Taoying Li, Linlin Jin, Zebin Wu and Yan Chen
The recommendation algorithm in e-commerce systems is faced with the problem of high sparsity of users? score data and interest?s shift, which greatly affects the performance of recommendation. Hence, a combined recommendation algorithm based on improved...
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Yang Lyu, Quan Pan and Jian Lv
The problem of multi-robot collaborative self-localization and distributed target tracking in practical scenarios is studied in this work. The major challenge in solving the problem in a distributed fashion is properly dealing with inter-robot and robot?...
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