Jun Chen
6 papers in the PaperMetrix corpus
Papers by this author
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Vulnerability assessment of security systems based on risk entropy and Neyman-Pearson criterion
2015 · WIT transactions on engineering sciences
Welcome to the WIT Press eLibrary - the home of the Transactions of the Wessex Institute collection, providing on-line access to papers presented at the Institute's prestigious international conferences and from its State-of-the-Art in Science …
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Research on the Application of Information Technology in College English Teaching against the Background of Internet
2019
Traditional College English teaching is dull, students' initiative in learning is difficult to mobilize, and the teaching effect is not significant. By building information technology-based teaching platforms which rely on the Internet and mobile terminals, …
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Metallogenic prediction based on fractal theory and machine learning in Duobaoshan Area, Heilongjiang Province
2024 · Ore Geology Reviews
The extraction and integrated analysis of multi-source geological data are key steps in the prediction of mineralization. Current studies are focusing on the extraction and integration of the deep-level mineralization information. In the era of …
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Rate-Limited Optimal Transport for Quantum Gaussian Observables
2024
The rate-limited optimal transport problem is introduced for the continuous-variable quantum measurement systems in the form of output-constrained rate-distortion coding. The main coding theorem provides a single-letter characterization of the achievable rate region for lossy …
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Using a dynamic arithmetic optimization approach to improve ridgelet neural network performance in remote sensing scene classification
2025 · Scientific Reports
This research proposes an innovative methodology for acurate remore sensing scene classification. Here, a new design of dynamic arithmetic optimization algorithm (DAOA) has been proposed to enhance the performance of a Ridgelet neural network (RNN) …
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Keyphrase Generation with Correlation Constraints
2018
In this paper, we study automatic keyphrase generation.