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Big Data Analytics in Smart Manufacturing: Principles and Practices
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Big Data Analytics in Smart Manufacturing: Principles and Practices
The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization, and self-sovereign identity of AI and IoT technologies have tremendous potential to rebalance and improve machine learning algorithms. This book discusses the possibility of using AI, IoT and machine learning for the enhancement of healthcare systems.
192 pages, 25 Tables, black and white; 51 Line drawings, black and white; 17 Halftones, black and wh
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 7. oktobris |
| ISBN13 | 9781032065533 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 192 |
| Izmēri | 150 × 220 × 10 mm · 380 g |
| Valoda | Angļu |
| Redaktors | Balamurugan, B (SNU, Gr. Noida) |
| Redaktors | Poongodi, T |
| Redaktors | Sharma, Meenakshi (Galgotias Uni.) |
| Redaktors | Suresh, P (Galgotias Uni.) |
