Search Result

1

Points-of-interest recommendation based on spatial-temporal enhancement of sequence graph and geographical relationships

基于序列图时空增强与地理关系的兴趣点推荐

Liu Chao

Zhu Jun

point-of-interest recommendation

spatial-temporal information

geographical information

sequence information

attention mechanism

No. 3, 2025 : 755-761 doi:10.19734/j.issn.1001-3695.2024.08.0298

2

Multi-semantic hypergraph learning with fine-grained spatio-temporal information for next PoI recommendation

面向下一个兴趣点推荐的细粒度时空多语义超图学习

Li Wanqiu

Zhang Chaoqun

Tang Weidong

Zeng Zhilin

Li Haoran

next point of interest recommendation

fine-grained

spatio-temporal graph

multi-semantic

hypergraph learning

No. 2, 2025 : 398-405 doi:10.19734/j.issn.1001-3695.2024.07.0288

3

Remaining useful life prediction of turbofan engines based on feature enhancement and spatio-temporal information embedding

基于特征增强与时空信息嵌入的涡扇发动机剩余寿命预测

Li Yongcheng

Li Wenxiao

Lei Yinjie

remaining useful life prediction

feature enhancement

spatio-temporal information embedding

convolutional neural network

No. 4, 2024 : 1001-1007 doi:10.19734/j.issn.1001-3695.2023.08.0364

4

Semi-supervised dynamic deep fusion neural network based soft sensor

基于半监督动态深度融合神经网络的软测量

Guo Xiaoping

Chong Jialin

Li Yuan

AutoEncoder

soft sensor

semi-supervised feature extraction

spatiotemporal information

gating neuron

No. 2, 2024 : 521-526 doi:10.19734/j.issn.1001-3695.2023.07.0276

5

Task recommendation based on spatial-temporal information and task popularity analysis in mobile crowd sensing

基于时空信息和任务流行度分析的移动群智感知任务推荐

Yang Guisong

Wang Jingru

Li Jun

He Xingyu

mobile crowd sensing

task recommendation

spatial-temporal information

popularity bias

task popularity

No. 9, 2022 : 2745-2751 doi:10.19734/j.issn.1001-3695.2022.01.0046

6

Driver state detection framework based on temporal facial action information

基于时序性面部动作信息的驾驶员状态检测框架

Cui Ziyan

Wang Jianming

Jin Guanghao

abnormal driving

temporal information

facial action detection

LSTM network

No. 11, 2019 : 3476-3480 doi:10.19734/j.issn.1001-3695.2018.05.0356