Name
Abstract | ||
|---|---|---|
•Identify emergent technologies from open-source indicators using binary classifier.•Transition between emergence and growth is encoded in the shape of the curve.•Artificial neural network learns technology maturity based on derivatives of curve.•Data augmentation improves classifier performance by increasing training corpus. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.eswa.2022.117177 | Expert Systems with Applications |
Keywords | DocType | Volume |
Technology life cycle,Machine learning,Artificial neural network,Data augmentation | Journal | 201 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katherine Cauthen | 1 | 0 | 0.34 |
| Prashant Rai | 2 | 0 | 0.34 |
| Nicholas Hale | 3 | 0 | 0.34 |
| Laura Freeman | 4 | 0 | 0.34 |
| Jaideep Ray | 5 | 198 | 24.42 |