Port Container Throughput Prediction Based on Variational AutoEncoder

被引：0

作者：

Li, Jingze ^{[1
,2
,3
]}

Shi, Shengmin ^{[1
,2
,3
]}

Chen, Tongbing ^{[1
,2
,3
]}

Tian, Yu ^{[4
]}

Ding, Yihua ^{[5
]}

Xiao, Yiyong ^{[6
]}

Sun, Weiwei ^{[1
,2
,3
]}

机构：

[1] School of Computer Science, Fudan University, Shanghai, China

[2] Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China

[3] Shanghai Institute of Intelligent Electronics and Systems, Fudan University, Shanghai, China

[4] Shanghai International Port (Group) Co., Ltd., Shanghai, China

[5] Shanghai Harbor e-logistics Software Co., Ltd., Shanghai, China

[6] NeZha Smart Port and and Shipping Technology (Shanghai) Co., Ltd., Shanghai, China

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2022年 / 13246 LNCS卷

关键词：

Compendex;

D O I：

27th International Conference on Database Systems for Advanced Applications, DASFAA 2022

中图分类号：

学科分类号：

摘要：

Containers

引用

页码：590 / 605