Titlebook: Computer Science and Education; 17th International C Wenxing Hong,Yang Weng Conference proceedings 2023 The Editor(s) (if applicable) and T

polysomnography

書目名稱Computer Science and Education影響因子(影響力)




書目名稱Computer Science and Education影響因子(影響力)學(xué)科排名




書目名稱Computer Science and Education網(wǎng)絡(luò)公開度




書目名稱Computer Science and Education網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Science and Education被引頻次




書目名稱Computer Science and Education被引頻次學(xué)科排名




書目名稱Computer Science and Education年度引用




書目名稱Computer Science and Education年度引用學(xué)科排名




書目名稱Computer Science and Education讀者反饋




書目名稱Computer Science and Education讀者反饋學(xué)科排名

ICLE

Topic Term Clustering Based on?Semi-supervised Co-occurrence Graph and?Its Application in?Chinese Jued by the uncertainty of law and facts, but also affected by the judge’s discretion and factors outside the case. So it is difficult to format controversial issues and inappropriate to judge the similarity by the consistency of controversial issues. Meanwhile, controversial issues data is subject to

膝蓋

甜瓜

A Method of Students’ Online Learning Status Analysis Based on Facial Expressionreached 82.5%. Three types of visualizations presented in this paper (individual real-time feedback, feedback on the learning status of the class, and analysis feedback charts) provide students and instructors with privacy-preserving feedback on learning status.

特別容易碎

Short Text Dynamic Clustering Approach for Semantic-Enhanced Knowledge of semantic knowledge can automatically adjust the strength of topic inheritance, making the dynamic evolution of the number of clusters more in line with the actual data. Experiments on synthetic data and real data show that the SDDMM model effectively improves the short texts’ dynamic clustering

事先無(wú)準(zhǔn)備

Comparison Between Methods Based on LSTM and BLS for Stock Analysis and Prediction the weight of each layer of LSTM is updated by gradient layer by layer, while the weight from hidden layer to output layer in BLS model is solved by pseudo-inverse calculation, which avoids the gradient update method and ensures the efficiency of network training. In addition, the BLS-based loop st

事先無(wú)準(zhǔn)備

The Uncemented Thrust-Plate Hip Prosthesis,e Tracing (SATCN). It can take the historical exercises of each learner as input and model the individual learning in a consistent manner that means it can realize personalized knowledge tracking prediction without extra manipulations. Moreover, with the self attention mechanism our model can adjust

Project

Enthralling

使迷醉

International Astronomical Union Symposiareached 82.5%. Three types of visualizations presented in this paper (individual real-time feedback, feedback on the learning status of the class, and analysis feedback charts) provide students and instructors with privacy-preserving feedback on learning status.