Due to high proliferation of unsolicited information in the text, image and video files, the social media analytics engine suffers from losing its user, user privacy and others. The unsolicited information is been a h...
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The deep learning techniques on the base of YOLOv5 architecture have been shown to make a traffic objects detection system for V2V communications to ensure traffic safety and traffic flows prediction. According to the...
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This paper introduces a fatigue load prediction framework for the nacelle of wind turbines utilizing operational data sourced from the supervisory control and data acquisition (SCADA) system of a Wind Farm. The primar...
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To improve the precision of CT lung nodule detection, this paper presents a parallel fusion model based on CNN and Transformer network, which integrates features of the two networks to fully utilize the high-resolutio...
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This paper presents an innovative event-triggered non-fragile fault-tolerant control approach towards the interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems subject to bounded disturbances and actuator faults bas...
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In order to improve the SLAM accuracy of robots in dynamic scenes and realize the tracking of dynamic objects, this paper proposed a dynamic objects recognition method based on reprojection error and depth estimation....
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A lot of higher-order computer vision applications, like face recognition and facial expression analysis, depend on the precise detection of landmarks inside facial pictures. Although landmark localization is a straig...
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Hierarchical Federated Edge Learning (HFEL) is a promising and efficient framework, providing privacy preservation, which aims to address the issue of limited resources and network congestion by utilizing the availabl...
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This article studies the fault-Tolerant control (FTC) issue of a class of nonlinear switching systems with actuator faults. To estimate states that are not available, a high-gain observer is utilized to eliminate the ...
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This paper proposes a seismic landslide detection method based on Transformer and RNN algorithm. This method uses seismic data and topographic data as inputs, encodes the data through the Transformer model, and then i...
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