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

GUST

书目名称Computing and Data Science影响因子(影响力)




书目名称Computing and Data Science影响因子(影响力)学科排名




书目名称Computing and Data Science网络公开度




书目名称Computing and Data Science网络公开度学科排名




书目名称Computing and Data Science被引频次




书目名称Computing and Data Science被引频次学科排名




书目名称Computing and Data Science年度引用




书目名称Computing and Data Science年度引用学科排名




书目名称Computing and Data Science读者反馈




书目名称Computing and Data Science读者反馈学科排名

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