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Liping Zhang, Xiaojing Zhang and Song Li
In view of the existing research in the field of k-nearest neighbor query in the road network, the incompleteness of the query user?s preference for data objects and the privacy protection of the query results are not considered, this paper proposes a mu...
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Shaoze You, Hua Zhu, Menggang Li, Yutan Li and Chaoquan Tang
In recent years, discriminative correlation filters (DCF) based trackers have been widely used in mobile robots due to their efficiency. However, underground coal mines are typically a low illumination environment, and tracking in this environment is a c...
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Md. Shafiquzzaman, Amimul Ahsan, Md. Mahmudul Hasan, Abdelkader T. Ahmed and Quazi Hamidul Bari
Higher levels of arsenic (As) and iron (Fe) in groundwater have been reported globally. This study aims to enhance our understanding of the role of naturally occurring dissolved Fe(II) in removing As from groundwater. Field experiments were conducted usi...
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Junyi Yang, Yutong Yao and Donghe Yang
Due to the complexity of the underwater environment, tracking underwater targets via traditional particle filters is a challenging task. To resolve the problem that the tracking accuracy of a traditional particle filter is low due to the sample impoveris...
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Glenn Tootle, Abdoul Oubeidillah, Emily Elliott, Giuseppe Formetta and Nejc Bezak
The Sava River Basin (SRB) extends across six countries (Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Albania, and Montenegro) and is a major tributary of the Danube River (DR). The Sava River (SR) originates in the alpine region of Slovenia, and, ...
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Kexin Bao, Jinqiang Bi, Miao Gao, Yue Sun, Xuefeng Zhang and Wenjia Zhang
According to the statistics of water transportation accidents, collision accidents are on the rise as the shipping industry has expanded by leaps and bounds, and the water transportation environment has become more complex, which can result in grave cons...
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Vladimir Skripachev,Mikhail Guida,Nikolay Guida,Alexander Zhukov
Pág. 53 - 61
The article discusses in detail the use of collapsible neural networks (CNNs) for use in solving problems of detecting objects in aerospace images. The structure of collapsing neural networks is revealed, taking into account the specifics of the applicat...
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Gabriel Castro and Grover Zurita
There have been steadily growing requirements from the academia and industry, demanding non-invasive methods and reliable measurement systems of research devoted to operational mode analysis (OMA). Due to the simplicity of performing only structures surf...
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Ahmed Dirir, Henry Ignatious, Hesham Elsayed, Manzoor Khan, Mohammed Adib, Anas Mahmoud and Moatasem Al-Gunaid
Object counting is an active research area that gained more attention in the past few years. In smart cities, vehicle counting plays a crucial role in urban planning and management of the Intelligent Transportation Systems (ITS). Several approaches have ...
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Elia Arturo Vallicelli and Marcello De Matteis
This paper analyzes how to improve the precision of ionoacoustic proton range verification by optimizing the analog signal processing stages with particular emphasis on analog filters. The ionoacoustic technique allows one to spatially detect the proton ...
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