Considering that monitoring elements generally have multi-dimensional characteristics and spatiotemporal causal relationships, this work develops a spatiotemporal deep learning-based smart discovery approach for MPI from the data-driven perspective. In particular, a systematic preprocessing workflow is developed...
a spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data.[2019][accid anal prev][10.1016_j.aap. 文档格式: .pdf 文档大小: 1.1M 文档页数: 16页 顶/踩数: 0/0 收藏人数: 0 评论次数: ...
To achieve an accurate and holistic prediction of the short and mid-term SST field, a spatiotemporal deep learning model is proposed which can capture the correlations of SST across both space and time. The model uses the convolutional long short-term memory (ConvLSTM) as the building block ...
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting 巴拉巴拉 积极向上的懒人1.创新点 第一篇将图卷积用于提取空间和时间信息的文章,没有使用正则卷积和递归单元,使用了完整的卷积结构,在更少的参数下,可以得到更快的训练速度 2.问题描述 通过前[t-m+1,t] 的交通流量...
A Deep Learning Method for Arctic Sea Ice Type Classification Based on Active-Passive Microwave Data The Arctic-scale classification of sea ice type is important in the fields of macro-monitoring in the Arctic, climate change assessment, and long time-seri... R Huang,T Xie,C Wang - IOP Pub...
This paper is one of the first DL studies to forecast the short-term passenger demand of an on-demand ride service platform by examining the spatio-temporal correlations. Introduction The on-demand ride service platform, e.g., Urber, Lyft, DiDi Chuxing, is an emerging technology with the ...
Spatial: graph, Temporal: Conv Spatio-temporal convolutional networks 2 Preliminary 2.1 Traffic Prediction on Road Graphs Traffic forecast: v^t+1,…,v^t+H=argmaxvt+1,…,vt+HlogP(vt+1,…,vt+H∣vt−M+1,…,vt) Gt=(Vt,E,W) ...
SpatiotemporalDeep learningVideo understandingComputer visionSurveyVideo understanding requires abundant semantic information. Substantial progress has been made on deep learning models in the image, text, and audio domains, and notable efforts have been recently dedicated to the design of deep networks in...
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting 问题背景:交通流量预测忽略时空依赖性。 提出模型:Spatio-Temporal Graph Convolutional Networks (STGCN)。instead of 常规卷积和递归单元,本文在图上公式化问题,并使用完整的卷积结构构建模型,使得以更少的参数实现更快的...
Bao J, Liu P, Ukkusuri S (2019) A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data. Accid Anal Prev 122:239–254. https://doi.org/10.1016/j.aap.2018.10.015 Article Google Scholar Yuan J, Abdel-Aty M, Gong Y, Cai Q (2019)...