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Deep Learning for Terrestrial Ecosystem Sustainability - Computational Intelligence in Sustainable Agriculture
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€ 129,49
Paredzamā piegāde 2027. gada 18. - 23. martā
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Deep Learning for Terrestrial Ecosystem Sustainability - Computational Intelligence in Sustainable Agriculture
This book discusses how artificial intelligence can help monitor, understand, and protect terrestrial ecosystems. It presents applications of CNNs, RNNs, GANs, Vision Transformers, and Graph Neural Networks in vegetation classification, forest health, climate forecasting, deforestation detection, and biodiversity tracking.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Tiks izlaists | 2027. gada 10. marts |
| ISBN13 | 9781041274025 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 264 |
| Izmēri | 150 × 220 × 20 mm · 561 g (Svars (aptuveni)) |
| Redaktors | Kumar, S.N. |
| Redaktors | Shaheen, Momina |
| Redaktors | Shakil, Kashish Ara |
| Redaktors | Wani, Mudasir Ahmad |
| Redaktors | Wani, Niyaz Ahmad |
| Redaktors | Zafar, Sherin |
