| № |
Element
|
Documents count |
|---|---|---|
| 41 | physical wear (>>>) | 1 |
| 42 | predictive analytics of energy objects (>>>) | 1 |
| 43 | Python programming language (>>>) | 1 |
| 44 | quality (>>>) | 1 |
| 45 | railway and transport expertise (>>>) | 1 |
| 46 | reconstruction (>>>) | 1 |
| 47 | recurrent neural network LSTM (>>>) | 1 |
| 48 | reliability (>>>) | 1 |
| 49 | repair and restoration work (>>>) | 1 |
| 50 | residual resources (>>>) | 1 |
| 51 | resource (>>>) | 1 |
| 52 | Scikit-learn (>>>) | 1 |
| 53 | Stability (>>>) | 1 |
| 54 | state management (>>>) | 1 |
| 55 | structuretree (>>>) | 1 |
| 56 | technical condition (>>>) | 10 |
| 57 | technical condition and technical condition ratio (>>>) | 1 |
| 58 | technical condition assessment (>>>) | 1 |
| 59 | test and measuring equipment (>>>) | 1 |
| 60 | the technical condition index (>>>) | 1 |
Facet 'Subjects'
Filter: Subjects:техническое состояние