搜索monitoring共有 14 个结果
1
Digital twin process prediction model based on concept drift detection
Accepted Paper
2024年第7期 :
doi:10.19734/j.issn.1001-3695.2023.11.0541
2
Method for business process outcome prediction based on behavior profile matrix enhancement
Accepted Paper
2024年第6期 :
doi:10.19734/j.issn.1001-3695.2023.11.0524
3
Multi-perspective behavior analysis of fusion processes based on deep learning: predictive business process monitoring
Accepted Paper
2024年第6期 :
doi:10.19734/j.issn.1001-3695.2023.10.0526
4
Lockup fault monitoring and diagnosis based on Sunway NMII
2024年第4期 : 1015-1021
doi:10.19734/j.issn.1001-3695.2023.08.0395
5
Payload process detection method based on eBPF in cloud environment
2023年第7期 : 2157-2161
doi:10.19734/j.issn.1001-3695.2022.11.0562
6
Real-time anomaly monitoring method for robots based on multi-granularity cascade isolation forests
2021年第6期 : 1785-1789
doi:10.19734/j.issn.1001-3695.2020.06.0170
7
Dynamic process monitoring based on estimation error of missing variable
2021年第1期 : 175-178
doi:10.19734/j.issn.1001-3695.2019.10.0634
8
Health status monitoring based on DKNPE for semiconductor etch processes
2020年第10期 : 3038-3042
doi:10.19734/j.issn.1001-3695.2019.06.0214
9
Camera calibration and vehicle speed measurement in traffic monitoring scene
2020年第8期 : 2417-2421
doi:10.19734/j.issn.1001-3695.2019.03.0089
10
Online monitoring strategy for batch process based on GLRGMM
2020年第1期 : 127-130,152
doi:10.19734/j.issn.1001-3695.2018.04.0441
11
Encryption and monitoring of digital images based on plaintext related chaotic map and SHA-256 algorithm
2019年第11期 : 3401-3403,3414
doi:10.19734/j.issn.1001-3695.2018.07.0411
12
IoT health monitoring big data analysis system based on MF-R and AWS key management mechanism
2019年第7期 : 2065-2069
doi:10.19734/j.issn.1001-3695.2018.05.0275
13
Rice seedling status recognition based on machine vision algorithm
2019年第5期 : 1592-1596
doi:10.19734/j.issn.1001-3695.2017.12.0837
14
Large scale RFID tag inventory method in Internet of things
2019年第2期 : 327-330
doi:10.19734/j.issn.1001-3695.2017.12.0861