Name
Title | ||
|---|---|---|
Multi-sourced sensing and support vector machine classification for effective detection of fire hazard in early stage |
Abstract | ||
|---|---|---|
•Proposed a multi-sensor system for detection of indoor fire incidents at early stage.•Machine learning using support vector machine for effective classification.•Improved accuracy with reduced false alarms for fire incident classification and detection.•Cost-effective for embedded implementation and satisfying industrial needs. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.compeleceng.2022.108046 | Computers and Electrical Engineering |
Keywords | DocType | Volume |
Fire incident detection,Sensor fusion,Machine learning,Alarm systems,Fire safety | Journal | 101 |
ISSN | Citations | PageRank |
0045-7906 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siyuan Chen | 1 | 0 | 0.34 |
| Jinchang Ren | 2 | 1144 | 88.54 |
| Yijun Yan | 3 | 34 | 2.85 |
| Meijun Sun | 4 | 74 | 11.77 |
| Fuyuan Hu | 5 | 0 | 2.03 |
| Huimin Zhao | 6 | 0 | 0.68 |