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Rafal Jaworski, Sanja Seljan and Ivan Dunder
Parallel corpora have been widely used in the fields of natural language processing and translation as they provide crucial multilingual information. They are used to train machine translation systems, compile dictionaries, or generate inter-language wor...
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Qi Deng and Feng Zeng
In big cities, there are more and more parking lots and charging piles for electric vehicles, and the resources of parking and charging vehicles can be aggregated to provide strong computing power for vehicular edge computing (VEC). In this paper, we pro...
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Alejandro Molina-Villegas, Thomas Cattin, Karina Gazca-Hernandez and Edwin Aldana-Bobadilla
Currently, a significant portion of published research on online hate speech relies on existing textual corpora. However, when examining a specific context, there is a lack of preexisting datasets that include the particularities associated with various ...
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T. Edwin Chow, Joyce Chien and Kimberly Meitzen
The primary objective of this study was to examine the quality of volunteered geographic information (VGI) data for flood mapping of Hurricane Harvey. As a crowdsourcing platform, the U-Flood project mapped flooded streets in the Houston metro area. This...
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Barbara Brzic, Ivica Boticki and Marina Bagic Babac
Deception in computer-mediated communication represents a threat, and there is a growing need to develop efficient methods of detecting it. Machine learning models have, through natural language processing, proven to be extremely successful at detecting ...
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Supattra Puttinaovarat and Paramate Horkaew
Green space areas are one of the key factors in people?s livelihoods. Their number and size have a significant impact on both the environment and people?s quality of life, including their health. Accordingly, government agencies often rely on information...
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Kenneth Li Minn Ang, Jasmine Kah Phooi Seng and Ericmoore Ngharamike
Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices. Mobile crowdsourcing can be seen as a new paradigm contributing to th...
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Yao-Hua Ho and Yu-Jung Tsai
Climate-related natural disasters have affected the lives of thousands of people. Global warming creates warmer and drier conditions which increase the risk of wildfires. In large-scale disasters such as wildfires, search and rescue (SAR) operations beco...
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Yuxin Jiao, Zhikun Lin, Long Yu and Xiaozhu Wu
Task allocation is a critical issue of spatial crowdsourcing. Although the batching strategy performs better than the real-time matching mode, it still has the following two drawbacks: (1) Because the granularity of the batch size set obtained by batchin...
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Liu Cui, Hui Yang, Liang Chu, Qingping He, Fei Xu, Yina Qiao, Zhaojin Yan, Ran Wang and Hui Ci
Land cover is important for global change studies, and its accuracy and reliability are usually verified by field sampling, which costs a lot. A method was proposed for the verification of land cover datasets with the geo-tagged natural scene images usin...
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