Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor Data.
Saved in:
| Title: | Anomaly Detection with Feature Extraction Based on Machine Learning Using Hydraulic System IoT Sensor Data. |
|---|---|
| Authors: | Kim D; Department of Information & Statistics, Chungbuk National University, Cheongju 28644, Korea., Heo TY; Department of Information & Statistics, Chungbuk National University, Cheongju 28644, Korea. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Mar 23; Vol. 22 (7). Date of Electronic Publication: 2022 Mar 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1424-8220 |
|---|---|
| DOI: | 10.3390/s22072479 |
