Results 21 to 30 of about 5,054,449 (279)
Sensors, 2015 Decision fusion in sensor networks enables sensors to improve classification accuracy while reducing the energy consumption and bandwidth demand for data transmission. In this paper, we focus on the decentralized multi-class classification fusion problem
Wenyu Zhang, Zhenjiang Zhang
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Fuzzy risk assessment of a deeply buried tunnel under incomplete information [PDF]
Royal Society Open Science, 2018 Risk assessment has always been an important part of safety risk research in tunnel and underground engineering. Owing to the characteristics of tunnel construction, to achieve an expected risk control effect, it is necessary to carry out accurate risk ...
Yuanpu Xia +4 more
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A Reliability-Based Multisensor Data Fusion with Application in Target Classification
Sensors, 2020 The theory of belief functions has been extensively utilized in many practical applications involving decision making. One such application is the classification of target based on the pieces of information extracted from the individual attributes ...
Gabriel Awogbami, Abdollah Homaifar
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An Adaptive Dempster-Shafer Theory of Evidence Based Trust Model in Multiagent Systems
Applied Sciences, 2022 Multiagent systems (MASs) have a wide range of industrial applications due to agents’ advantages. However, because of the agents’ dynamic behaviors, it is a challenge to ensure the quality of service they present.
Ningkui Wang, Daijun Wei
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Journal of Marine Science and Engineering, 2023 The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors.
Shuanghu Qiao +3 more
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Radar Emitter Identification with Multi-View Adaptive Fusion Network (MAFN)
Remote Sensing, 2023 Radar emitter identification (REI) aims to extract the fingerprint of an emitter and determine the individual to which it belongs. Although many methods have used deep neural networks (DNNs) for an end-to-end REI, most of them only focus on a single view
Shuyuan Yang +5 more
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Remote Sensing, 2019 Change detection (CD) remains an important issue in remote sensing applications, especially for high spatial resolution (HSR) images, but it has yet to be fully resolved.
Jiru Huang +5 more
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Nuclear Physics B, 1996 We construct compact examples of D-manifolds for type IIB strings. The construction has a natural interpretation in terms of compactification of a 12 dimensional `F-theory'. We provide evidence for a more natural reformulation of type IIB theory in terms of F-theory.
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A method of consistently fusion-interpreting the telemetry data based on the evidence theory
Dianzi Jishu Yingyong, 2019 Aiming at the complex problem of telemetry time series data interpretation, a new method was proposed which can consistently analyze and judge the telemetry data in launching tasks of vehicles.
Yue Jia, Zhang Lei, Lu Jiangwei
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Anomaly Detection Using Ensemble Classification and Evidence Theory
IEEE Access, 2023 Multi-class ensemble classification remains a popular focus of investigation within the research community. The popularization of cloud services has sped up their adoption due to the ease of deploying large-scale machine-learning models.
Fernando Aravalo +3 more
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