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Jian Wang, Yong Hoon Kim, Xiaozheng He, Srinivas Peeta
Pág. 738 - 757
Vehicular traffic congestion in a vehicle-to-vehicle (V2V) communication environment can lead to congestion effects for information flow propagation. Such congestion effects can impact whether a specific information packet of interest can reach a desired...
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Yang Dong, Jiaxuan Song, Dazhao Fan, Song Ji and Rong Lei
In the field of geoinformation science, multiview, image-based 3D city modeling has developed rapidly, and image depth estimation is an important step in it. To address the problems of the poor adaptability of training models of existing neural network m...
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Jing Sun and Genhou Wang
This study was conducted to explore the distribution and changes of groundwater resources in the research area, and to promote the application of geographic information system (GIS) technology and its deep learning methods in chemical type distribution a...
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Boyu Zhu, Song Deng, Yunan Xu, Xinya Yuan and Zi Zhang
With the high integration of smart grid information and physical systems, the security of information systems must affect the safe and stable operation of physical systems. Risk assessment is an effectual means to objectively evaluate the information sec...
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Yuri Ardesi, Mariagrazia Graziano and Gianluca Piccinini
Molecular Field-Coupled Nanocomputing (FCN) is a computational paradigm promising high-frequency information elaboration at ambient temperature. This work proposes a model to evaluate the signal energy involved in propagating and elaborating the informat...
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Ke Zhao, Lan Huang, Rui Song, Qiang Shen and Hao Xu
Short text classification is an important problem of natural language processing (NLP), and graph neural networks (GNNs) have been successfully used to solve different NLP problems. However, few studies employ GNN for short text classification, and most ...
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Paola Zola, Guglielmo Cola, Michele Mazza and Maurizio Tesconi
Tracking information diffusion is a non-trivial task and it has been widely studied across different domains and platforms. The advent of social media has led to even more challenges, given the higher speed of information propagation and the growing impa...
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Meng Jian, Jingjing Guo, Xin Fu, Lifang Wu and Ting Jia
The growing complex user intention gap and information overload are obstacles for users to access the desired content. User interactions and the involved content indicate rich evidence of users? interests. It is required to investigate interaction charac...
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Jing Chen, Gang Zhou, Jicang Lu, Shiyu Wang and Shunhang Li
Fake news detection has become a significant topic based on the fast-spreading and detrimental effects of such news. Many methods based on deep neural networks learn clues from claim content and message propagation structure or temporal information, whic...
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Raffaele Albano, Leonardo Mancusi, Jan Adamowski, Andrea Cantisani and Aurelia Sole
Mapping the delineation of areas that are flooded due to water control infrastructure failure is a critical issue. Practical difficulties often present challenges to the accurate and effective analysis of dam-break hazard areas. Such studies are expensiv...
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Yugen Yi, Haoming Zhang, Ningyi Zhang, Wei Zhou, Xiaomei Huang, Gengsheng Xie and Caixia Zheng
As the feature dimension of data continues to expand, the task of selecting an optimal subset of features from a pool of limited labeled data and extensive unlabeled data becomes more and more challenging. In recent years, some semi-supervised feature se...
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Mingyuan Huang, Dawei Cheng, Jia Zhou and Zhong Lu
Traditional reliability analysis methods such as Reliability Block Diagram, Fault Tree Analysis, and Markov Analysis are all subjective methods whose results significantly depend on the analysts? skills and experiences. A model-based reliability method i...
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Bomi Lee, Aetti Kang and Sungil Ham
The damage caused by disasters is increasing worldwide, with hundreds of thousands of deaths due to the occurrence of complex large-scale disasters such as the 2010 Haiti earthquake and the 2004 Indian tsunami. South Korea has also experienced human casu...
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Olga Papadopoulou , Themistoklis Makedas , Lazaros Apostolidis , Francesco Poldi , Symeon Papadopoulos and Ioannis Kompatsiaris
The proliferation of online news, especially during the ?infodemic? that emerged along with the COVID-19 pandemic, has rapidly increased the risk of and, more importantly, the volume of online misinformation. Online Social Networks (OSNs), such as Facebo...
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Malak Baslyman, Daniel Amyot and John Mylopoulos
Goal models are commonly used requirements engineering artefacts that capture stakeholder requirements and their inter-relationships in a way that supports reasoning about their satisfaction, trade-off analysis, and decision making. However, when there i...
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Evgenia Trushkina,Dmitry Namiot
Pág. 99 - 114
The article discusses one approach to organizing data exchange between closely spaced mobile devices, which does not require a direct connection between devices and does not use third-party (cloud) storage. The article was written based on the results of...
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Vincenza Carchiolo, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni and Marialaura Previti
A real-time news spreading is now available for everyone, especially thanks to Online Social Networks (OSNs) that easily endorse gate watching, so the collective intelligence and knowledge of dedicated communities are exploited to filter the news flow an...
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Zhiqiang Zhang, Rong Huang, Fang Han and Zhijie Wang
In this paper, we propose a novel spatial image error concealment (EC) method based on deep neural network. Considering that the natural images have local correlation and non-local self-similarity, we use the local information to predict the missing pixe...
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Silvano Bertoldo, Lorenzo Carosso, Emanuele Marchetta, Miryam Paredes and Marco Allegretti
LoRa (Long Range) is a proprietary radio communication technology exploiting license-free frequency bands, allowing low-rate information exchange over long distances with very low power consumption. Conventional environmental monitoring sensors have the ...
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Qiao Chen, Fenglin Xu, Pengcheng Su, Honglin Zhu, Yifang Zhang, Yang Liu, Dongming Jia, Xiaozai Guo, Jilong Chen and Dunlong Liu
Meso-crack evolution mechanism of shale is a key factor affecting the mechanical properties of shale. In order to explore evolution laws of cracks in shale during loading, a meso-crack monitoring system, loading test equipment and an automatic ultrasonic...
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