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Akademický článek

Improved Topic Sentiment Model with Word Embedding Based on Gaussian Distribution

Autor: LI Yu-qiang, ZHANG Wei-jiang, HUANG Yu, LI Lin, LIU Ai-hua

Publikováno v: Jisuanji kexue, Vol 49, Iss 2, Pp 256-264 (2022)

In recent years,the topic sentiment model as an important research in the field of unsupervised learning,has been used in text topic mining and sentiment analysis.However,Weibo has brought some challenges to the topic sentiment model because of its s

Externí odkaz: https://doaj.org/article/5b73fc8069e84e0791a035a0b7ba1abd

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Short-Term Evolution and Risks of Debris Cloud Stemming from Collisions in Geostationary Orbit

Autor: Shu, Peng, Zhao, Meng, Li, Zhen-Yi, Sun, Wei, Li, Yu-Qiang, Luo, Ya-Zhong

The increasing population of objects in geostationary orbit has raised concerns about the potential risks posed by debris clouds resulting from fragmentation. The short-term evolution and associated hazards of debris generated by collisions in the ge

Externí odkaz: http://arxiv.org/abs/2412.13586

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Machine Learning-Based Identification of Contaminated Images in Light Curves Data Preprocessing

Autor: Li, Hui, Li, Rong-Wang, Shu, Peng, Li, Yu-Qiang

Attitude is one of the crucial parameters for space objects and plays a vital role in collision prediction and debris removal. Analyzing light curves to determine attitude is the most commonly used method. In photometric observations, outliers may ex

Externí odkaz: http://arxiv.org/abs/2404.01691

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