Name
Abstract | ||
|---|---|---|
•This paper presents a comprehensive review of the general architecture of 1D CNNs.•Their major engineering applications, principals, and recent progress on 1D CNNs are reviewed.•The state-of-the-art performance and unique properties of 1D CNNs are highlighted.•Detailed computational complexity analysis of compact and adaptive 1D CNNs are reported.•The benchmark datasets and the principal 1D CNN software are also publicly shared. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ymssp.2020.107398 | Mechanical Systems and Signal Processing |
Keywords | DocType | Volume |
Artificial Neural Networks,Machine learning,Deep learning,Convolutional neural networks,Structural health monitoring,Condition monitoring,Arrhythmia detection and identification,Fault detection,Structural damage detection | Journal | 151 |
ISSN | Citations | PageRank |
0888-3270 | 17 | 1.12 |
References | Authors | |
36 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serkan Kiranyaz | 1 | 750 | 61.15 |
| Onur Avci | 2 | 17 | 1.12 |
| Osama Abdeljaber | 3 | 17 | 1.12 |
| Turker Ince | 4 | 545 | 29.26 |
| Moncef Gabbouj | 5 | 3282 | 386.30 |
| Daniel J. Inman | 6 | 26 | 4.22 |