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Lin Xu, Shanxiu Ma, Zhiyuan Shen and Ying Nan
The role of air traffic controllers is to direct and manage highly dynamic flights. Their work requires both efficiency and accuracy. Previous studies have shown that fatigue in air traffic controllers can impair their work ability and even threaten flig...
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Chenglin Yang, Dongliang Xu and Xiao Ma
Due to the increasing severity of network security issues, training corresponding detection models requires large datasets. In this work, we propose a novel method based on generative adversarial networks to synthesize network data traffic. We introduced...
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Jin Peng, Chengming Liu, Haibo Pang, Xiaomeng Gao, Guozhen Cheng and Bing Hao
With the rise of image manipulation techniques, an increasing number of individuals find it easy to manipulate image content. Undoubtedly, this presents a significant challenge to the integrity of multimedia data, thereby fueling the advancement of image...
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Di Wang and Haizhong Qian
Existing research on automatic river network classification methods has difficulty scientifically quantifying and determining feature threshold settings and evaluating weights when calculating multi-indicator features of the local and overall structures ...
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Xintao Liang, Yuhang Li, Xiaomin Li, Yue Zhang and Youdong Ding
Implementing single-channel speech enhancement under unknown noise conditions is a challenging problem. Most existing time-frequency domain methods are based on the amplitude spectrogram, and these methods often ignore the phase mismatch between noisy sp...
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Nathan Martindale, Muhammad Ismail and Douglas A. Talbert
As new cyberattacks are launched against systems and networks on a daily basis, the ability for network intrusion detection systems to operate efficiently in the big data era has become critically important, particularly as more low-power Internet-of-Thi...
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Xiao Wu and Qingge Ji
Modeling spatiotemporal representations is one of the most essential yet challenging issues in video action recognition. Existing methods lack the capacity to accurately model either the correlations between spatial and temporal features or the global te...
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Andrew S. Gendaszek, Jason B. Dunham, Christian E. Torgersen, David P. Hockman-Wert, Michael P. Heck, Justin Thorson, Jeffrey Mintz and Todd Allai
The seasonal and inter-annual variability of flow presence and water temperature within headwater streams of the Great Basin of the western United States limit the occurrence and distribution of coldwater fish and other aquatic species. To evaluate chang...
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Wentong Wang, Lichun Wang, Xufei Ge, Jinghua Li and Baocai Yin
This paper can be applied to an autonomous vehicle and driving assistance system.
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John B. Lindsay, Wanhong Yang and Duncan D. Hornby
Drainage network analysis includes several operations that quantify the topological organization of stream networks. Network analysis operations are frequently performed on streams that are derived from digital elevation models (DEMs). While these method...
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Weihuang Liu, Jinhao Qian, Zengwei Yao, Xintao Jiao and Jiahui Pan
Road traffic accidents caused by fatigue driving are common causes of human casualties. In this paper, we present a driver fatigue detection algorithm using two-stream network models with multi-facial features. The algorithm consists of four parts: (1) P...
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Pierluigi Crescenzi, Clémence Magnien and Andrea Marino
Temporal networks are graphs in which edges have temporal labels, specifying their starting times and their traversal times. Several notions of distances between two nodes in a temporal network can be analyzed, by referring, for example, to the earliest ...
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Leigang Dong, Guohua Liu, Xiaowei Cui and Tianyu Li
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Leigang Dong, Guohua Liu, Xiaowei Cui and Tianyu Li
Along with the application of the sensor network, there will be large amount of dynamic data coming from sensors. How to dig the useful information from such data is significant. Skyline query is aiming to identify the interesting points from a large dat...
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Wei Li, Ke Zhang, Yuqiao Long and Li Feng
Varying active stream network lengths (ASNL) is a common phenomenon, especially in hilly headwater catchment. However, direct observations of ASNL are difficult to perform in mountainous catchments. Regarding the correlation between active stream network...
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Wei Li, Ke Zhang, Yuqiao Long, Li Feng
Pág. 1 - 12
Varying active stream network lengths (ASNL) is a common phenomenon, especially in hilly headwater catchment. However, direct observations of ASNL are difficult to perform in mountainous catchments. Regarding the correlation between active stream network...
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Fei Yuan, Phillip Larson, Roman Mulvihill, Devon Libby, Jessica Nelson, Tyler Grupa and Rick Moore
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Zhan Wu, Tong Chen, Ying Chen, Zhihao Zhang and Guangyuan Liu
Facial expression recognition (FER) under active near-infrared (NIR) illumination has the advantages of illumination invariance. In this paper, we propose a three-stream 3D convolutional neural network, named as NIRExpNet for NIR FER. The 3D structure of...
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Ping Lu and Yu Shang
The Puqu Fault is situated in Southern Tibet. It is influenced by the eastward extrusion of Northern Tibet and carries the clockwise rotation followed by the southward extrusion. Thus, the Puqu Fault is bounded by the principal dynamic zones and the tect...
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Mohammad Kamruzzaman, Md Sumon Shahriar and Simon Beecham
The aim of this study is to assess the relationship between rainfall and stream flow at Broughton River in Mooroola, Torrance River in Mount Pleasant, and Wakefield River near Rhyine, in South Australia, from 1990 to 2010. Initially, we present a short t...
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