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Applications of Computational Learning and IoT in Smart Road Transportation System - Springer Tracts on Transportation and Traffic
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Applications of Computational Learning and IoT in Smart Road Transportation System - Springer Tracts on Transportation and Traffic
Predicting traffic patterns is done by analyzing the gathered data using machine learning algorithms. To forecast parking availability based on past data, the time of day, and special events, apply machine learning algorithms.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2025. gada 9. maijs |
| ISBN13 | 9783031876264 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 236 |
| Izmēri | 150 × 220 × 20 mm · 533 g |
| Valoda | Vācu |
| Redaktors | Alam, Munshi Yusuf |
| Redaktors | Mallik, Saurav |
| Redaktors | Nandi, Subrata |
| Redaktors | Qin, Hong |
| Redaktors | Roy, Arup |
| Redaktors | Sardar, Tanvir Habib |
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