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books
| book details |
Artificial Intelligence and Machine Learning for Open-world Novelty: Volume 134
Volume editor Ganesh Chandra Deka, Volume editor Shiho Kim
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| on special |
normal price: R 6 147.95
Price: R 5 840.95
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| book description |
Artificial Intelligence and Machine Learning for Open-world Novelty, Volume 134 in the Advances in Computers series presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on AI and Machine Learning for Real-world problems, Graph Neural Network for learning complex problems, Adaptive Software platform architecture for Aerial Vehicle Safety Levels in real-world applications, OODA Loop for Learning Open-world Novelty Problems, Privacy-Aware Crowd Counting Methods for Real-World Environment, AI and Machine Learning for 3D Computer Vision Applications in Open-world, and PIM Hardware accelerators for real-world problems. Other sections cover Irregular Situations in Real-World Intelligent Systems, Offline Reinforcement Learning Methods for Real-world Problems, Addressing Uncertainty Challenges for Autonomous Driving in Real-World Environments, and more.
| product details |
Normally shipped |
Publisher | Elsevier Science & Technology
Published date | 19 Feb 2024
Language |
Format | Hardback
Pages | 310
Dimensions | 229 x 152 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-3239-9928-1
Readership Age |
BISAC | computers / programming / software development
| other options |
Normally shipped |
Readership Age |
Normal Price | R 7 776.95
Price | R 7 387.95
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Mason Coile
Paperback / softback
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