Titlebook: Cloud Computing; 10th EAI Internation Lianyong Qi,Mohammad R. Khosravi,Varun G. Menon Conference proceedings 2021 ICST Institute for Comput

T-Lymphocyte

書(shū)目名稱Cloud Computing影響因子(影響力)




書(shū)目名稱Cloud Computing影響因子(影響力)學(xué)科排名




書(shū)目名稱Cloud Computing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Cloud Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Cloud Computing被引頻次




書(shū)目名稱Cloud Computing被引頻次學(xué)科排名




書(shū)目名稱Cloud Computing年度引用




書(shū)目名稱Cloud Computing年度引用學(xué)科排名




書(shū)目名稱Cloud Computing讀者反饋




書(shū)目名稱Cloud Computing讀者反饋學(xué)科排名

非實(shí)體

多產(chǎn)子

https://doi.org/10.1007/978-3-322-95390-2 lattice constructed by MCmR reduces redundant concepts while maintaining its structure and improve the efficiency of data analysis. We verify the valid of MCmR on multiple disease gene datasets, and its ACC in Prostate_Tumor, Lung_cancer, Breast_cancer and Leukemia datasets reached 95.4, 94.9, 96.0

歡呼

https://doi.org/10.1007/978-3-322-89819-7f LSTM, and the self-attention mechanism to better exact features. We conduct extensive experiments on the KDDcup99 dataset to evaluate the performance of our CNN-A-LSTM model. Compared with other machine learning and deep learning models, our CNN-A-LSTM has superior performance.

煞費(fèi)苦心

Schlüsseltechnologie Mathematik support for fast and highly concurrent upload data and access data. Finally, the existing sensitive and private data storage methods of industrial block chain are analyzed, and the experimental comparison with the method in this paper proves the effectiveness of this method.

inhibit

inhibit

Schlüsseltechnologie-Industrienutational costs. We performed extensive experiments to valid the approach and compared it with a Spark Streaming approach. The results of the experiment show that the proposed approach has better cost optimization than the baseline approach.

opportune

巡回

https://doi.org/10.1007/978-3-531-90227-2anized semantic structures. Experimental results show that DSE improves the performance of text classification and outperforms the state-of-the-art feature generation baselines on micro-. and macro-. scores over the real-world text classification datasets.

學(xué)術(shù)討論會(huì)