Flowchart of abnormal detection for CCL.

<p>Firstly, the characteristics of multi-dimensional sensor data are analyzed, the mathematical model of data stream is established, and the sliding window, correlation coefficient and variance are defined. Then, the main three kinds of abnormal events are analyzed, and the judgment conditions...

Full description

Saved in:

Bibliographic Details
Main Author:	Zhibo Xie (6790775) (author)
Other Authors:	Heng Long (157361) (author), Chengyi Ling (20854893) (author), Yingjun Zhou (2350510) (author), Yan Luo (255674) (author)
Published:	2025
Subjects:	Biochemistry Developmental Biology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified cold chain logistics relation coefficient ρjk isolated forest algorithm div >< p anomaly detection scheme anomaly detection performance average f1 score anomaly detection performance indicators new scheme improved algorithm f1 </ correlation coefficient three types technical problem slightly longer sliding window recall ), r </ precision ), paper presents p </ mathematical model lof ), iforest ). high cost data stream data increases data flow cross factor collected data abnormal events
Tags:	Add Tag No Tags, Be the first to tag this record!

Flowchart of abnormal detection for CCL.

Similar Items