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The explosion of online user-generated content (UGC) and the development of big data analysis provide a new opportunity and challenge to understand and respond to public opinions in the G2C e-government context. To better understand semantic searching of public comments on an online platform for...
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Training effective machine learning algorithms requires inhomogeneous data from different sources, which may violate data protection regulations. Federated learning (FedL), emerged as a privacy-aware alternative, enables collaborative model training without accessing the original data. One of...
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The Finite Rate of Innovation (FRI) sampling theory can realize the sub-Nyquist sampling and reconstruction of the pulse streams, which aims to reconstruct the characteristic parameters rather than the time domain waveform. Different from the classical spectral estimation algorithm in this...
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