In the disaster-affected area, whether it's a search and rescue operation, mock drill, managing food distribution, issuing warnings or anything else, the key to successfully carrying out these activities is prepar...
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The application of digitalization in manufacturing involves using sensors to collect and transmit large amounts of data in real-time. These complex, timestamped sequence data require effective analytical support to dr...
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Vanilla image completion approaches exhibit sensitivity to large missing regions, attributed to the limited availability of reference information for plausible generation. To mitigate this, existing methods incorporat...
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High-performance computing (HPC) has transformed the capacity to address complex computational tasks across various scientific fields by enabling the efficient processing of large datasets and intricate simulations. I...
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Wireless power transfer (WPT) technology provides key advantages over traditional charging methods, such as increased safety, convenience, and a broader charging range. However, single-receiver WPT systems lack resili...
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Arrhythmia is a typical condition in cardiovascular diseases, posing a serious threat to patients' health. Electrocardiogram (ECG), as an effective tool for detecting arrhythmia, plays a crucial role in diagnosing...
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Aiming at the loss of single sensor signal and low fault identification rate in mining motor bearings, a fault diagnosis algorithm based on the fusion of multiple sensor signals is proposed. First, multiple time domai...
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The emergence of the multi-Microgrid (MMG) concept can be attributed to the increased interaction between Microgrids (MGs). To tackle the intermittency of renewable energy resources (RES) and enhance the dependability...
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Deep learning, a relatively recent breakthrough in machine learning, has ignited immense interest and applications across diverse fields, including but not limited to signal processing, computer vision and pattern rec...
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In multi-view learning, how to effectively integrate features among multiple views becomes a key challenge. For multi-label tasks, it is extremely important that the relationship between features and labels. This pape...
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