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Pornrawee Tatit, Kiki Adhinugraha and David Taniar
Using spatial data in mobile applications has grown significantly, thereby empowering users to explore locations, navigate unfamiliar areas, find transportation routes, employ geomarketing strategies, and model environmental factors. Spatial databases ar...
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Hong Liu, Jining Yan, Jinlin Wang, Bo Chen, Meng Chen and Xiaohui Huang
In recent years, with the widespread use of location-aware handheld devices and the development of wireless networks, trajectory data have shown a trend of rapid growth in data volume and coverage, which has led to the prosperous development of location-...
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Lijun Wang, Linshu Hu, Chenhua Fu, Yuhan Yu, Peng Tang, Feng Zhang and Renyi Liu
The spatial learned index constructs a spatial index by learning the spatial distribution, which performs a lower cost of storage and query than the spatial indices. The current update strategies of spatial learned indices can only solve limited updates ...
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Zhi Cai, Fangzhe Liu, Qiong Qi, Xing Su, Limin Guo and Zhiming Ding
Urban rail transit is an essential part of the urban public transportation system. The reasonable spatial data visualization of urban rail transit stations can provide a more intuitive way for the majority of travelers to arrange travel plans and find de...
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Dexiao Kong, Jiayi Wang, Qinghui Zhang, Junqiu Li and Jian Rong
Automated fruit-picking equipment has the potential to significantly enhance the efficiency of picking. Accurate detection and localization of fruits are particularly crucial in this regard. However, current methods rely on expensive tools such as depth ...
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Howard Peng, Jirat Bhanpato, Ameya Behere and Dimitri N. Mavris
Aviation noise remains a key barrier to the sustainable growth of commercial aviation. The advent of emerging technologies, such as urban air mobility, and the renewed interest in commercial supersonic transport aircraft, has only further raised concerns...
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Su Yang and Farzin Deravi
In this paper, a novel re-engineering mechanism for the generation of word embeddings is proposed for document-level sentiment analysis. Current approaches to sentiment analysis often integrate feature engineering with classification, without optimizing ...
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Yen-Hsun Lin, Yi-Chung Chen, Sheng-Min Chiu, Chiang Lee and Fu-Cheng Wang
Spatial information analysis has gained increasing attention in recent years due to its wide range of applications, from disaster prevention and human behavioral patterns to commercial value. This study proposes a novel application to help businesses ide...
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Imene Bareche and Ying Xia
The magnitude of highly dynamic spatial data is expanding rapidly due to the instantaneous evolution of mobile technology, resulting in challenges for continuous queries. We propose a novel indexing approach model, namely, the Velocity SpatioTemporal ind...
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Volkov Artem, Kovalenko Vadim, Ibrahim A. Elgendy, Ammar Muthanna and Andrey Koucheryavy
Nowadays, 5G networks are emerged and designed to integrate all the achievements of mobile and fixed communication networks, in which it can provide ultra-high data speeds and enable a broad range of new services with new cloud computing structures such ...
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