Results 31 to 40 of about 25,989,787 (296)
Adaptive convolutional neural network for large change in video object segmentation
IET Computer Vision, 2019 This study tackles the semi‐supervised segmentation task for the objects that have large motion or appearance change in a video sequence, which is very challenging to the existing methods of video object segmentation (VOS).
Hui Yin, Lin Yang, Hongli Xu, Jin Wan
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Estimation of Average Speed of Road Vehicles by Sound Intensity Analysis
Sensors, 2021 Constant monitoring of road traffic is important part of modern smart city systems. The proposed method estimates average speed of road vehicles in the observation period, using a passive acoustic vector sensor.
Józef Kotus, Grzegorz Szwoch
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Energies, 2020 Traffic analysis using computer vision techniques is attracting more attention for the development of intelligent transportation systems. Consequently, counting traffic volume based on the CCTV system is one of the main applications.
Khac-Hoai Nam Bui, Hongsuk Yi, Jiho Cho
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Internet Threat Detection in Smart Grids Based on Network Traffic Analysis Using LSTM, IF, and SVM
Energies, 2022 The protection of users of ICT networks, including smart grids, is a challenge whose importance is constantly growing. Internet of Things (IoT) or Internet of Energy (IoE) devices, as well as network resources, store more and more information about users.
Szymon Stryczek, Marek Natkaniec
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IEEE Access, 2019 Subgraph pattern matching is a basic building block for many applications. Where to commence the pattern matching task and how to proceed are fundamental issues in massive graphs.
Lihua Ai, Lakshmish Ramaswamy, Siwei Luo
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Node Attribute-enhanced Community Detection in Complex Networks
Scientific Reports, 2017 Community detection involves grouping the nodes of a network such that nodes in the same community are more densely connected to each other than to the rest of the network. Previous studies have focused mainly on identifying communities in networks using
Caiyan Jia +4 more
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Applied SciencesThis research introduces the Urban Traffic Mobility Optimization Model (UTMOM), a data-driven methodology for analyzing two distinctive urban traffic datasets through the integration of data mining and mathematical modeling.
Hayri Ulvi +2 more
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Robust Smartphone App Identification via Encrypted Network Traffic Analysis [PDF]
IEEE Transactions on Information Forensics and Security, 2017 The apps installed on a smartphone can reveal much information about a user, such as their medical conditions, sexual orientation, or religious beliefs. In addition, the presence or absence of particular apps on a smartphone can inform an adversary, who ...
Vincent F. Taylor +3 more
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Encrypted and obfuscation WebShell detection for high-speed network traffic
网络与信息安全学报, 2022 With the gradual development of traffic encryption and text obfuscation technologies, it is increasingly difficult to prevent complicated and malicious WebShell attack events in production environment using traditional detection methods based on text ...
Yihuai CAO Wei CHEN, Lifa WU, Fan ZHANG
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Estimating bicycle route choice model in value-of-time space, a case study for Gothenburg
Journal of Cycling and Micromobility ResearchPrevious studies that have estimated bicycle route choice models have focused on the preference valuations in the Value-of-distance space (VoD), i.e., the valuation of a potential investment in infrastructure relative to the reference infrastructure is ...
Chengxi Liu +3 more
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