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Artificial Intelligence and Machine Learning for Open-world Novelty
ISBN: 9780323999281
Published: 2024
Publisher: Academic Press
Language: English
Format: Hardback
Format: 9×5.94
Published: 2024
Publisher: Academic Press
Language: English
Format: Hardback
Format: 9×5.94
Description
<p><i>Artificial Intelligence and Machine Learning for Open-world Novelty, Volume 134</i> in the <i>Advances in Computers</i> 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.</p>
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