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Explainable AI for Earth Observation Data Analysis: Applications, Opportunities, and Challenges
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Explainable AI for Earth Observation Data Analysis: Applications, Opportunities, and Challenges
This book discusses the various advancements in Explainable AI and investigates their suitability for various EO data analyses offering best practices for implementing algorithms that facilitate big and efficient data processing. It lays the foundation of Explainable EO and helps readers build trustworthy, secure, and robust EO systems.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2025. gada 4. novembris |
| ISBN13 | 9781032980966 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 280 |
| Izmēri | 150 × 220 × 20 mm · 710 g |
| Valoda | Angļu |
| Redaktors | Chanussot, Jocelyn |
| Redaktors | Kumar, D Nagesh (Indian Institute of Science, Bangalore, India) |
| Redaktors | Mohan, B Krishna (IIT Bombay) |
| Redaktors | Porwal, Alok (IIT Bombay) |
| Redaktors | PV, Arun (Indian Institute of Information Technology Sri City) |
