Titlebook: Computing and Data Science; Third International Weijia Cao,Aydogan Ozcan,Bei Guan Conference proceedings 2021 Springer Nature Singapore Pt

GUST

書目名稱Computing and Data Science影響因子(影響力)




書目名稱Computing and Data Science影響因子(影響力)學(xué)科排名




書目名稱Computing and Data Science網(wǎng)絡(luò)公開度




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




書目名稱Computing and Data Science被引頻次




書目名稱Computing and Data Science被引頻次學(xué)科排名




書目名稱Computing and Data Science年度引用




書目名稱Computing and Data Science年度引用學(xué)科排名




書目名稱Computing and Data Science讀者反饋




書目名稱Computing and Data Science讀者反饋學(xué)科排名

Heretical

airborne

https://doi.org/10.1007/978-3-540-72228-1 of historical data is applied to verify the validity of the model. Meanwhile, this method is compared with linear regression model and deep neural networks, which are two popular models for data regression.

Forsake

小故事

Drought Level Prediction with Deep Learningistinguishing higher drought levels than other methods. Overall, we conclude that deep learning models have the best performance which exceeds machine learning, but under the current drought grade classification standards, the existing methods cannot distinguish the higher drought grades well.

葡萄糖

Car First or Pedestrian First? Motion Prediction and Planning in Human-Robot Interactions other models on the UCY data-set. We also conducted experiments to compare the resulting paths with our prediction and those with naive and simple linear prediction. The result showed that our system can effectively generate safe and efficient future paths for autonomous vehicles.

葡萄糖

Application of Graphical Convolutional Networks to the Safety Assessment of Container Ship Voyages of historical data is applied to verify the validity of the model. Meanwhile, this method is compared with linear regression model and deep neural networks, which are two popular models for data regression.

LEER

Multi-channel Relation Modeling for Session-Based Recommendation with Self-supervised Learningupervised learning to maximizing mutual information between relationships. Our method fully leverages the possible complex structure in the data, which has a certain practical significance in the specific application.

魅力

calamity

Computing and Data Science978-981-16-8885-0Series ISSN 1865-0929 Series E-ISSN 1865-0937