Artificial Intelligence and Machine Learning for Open-world Novelty

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. Contains novel subject matter that is relevant to computer scienceIncludes the expertise of contributing authorsPresents an easy to comprehend writing style INDICE: PrefaceGanesh Chandra Deka1. AI and Machine Learning for Real-world problemsHamed Nozari, Agnieszka Szmelter-Jarosz and Javid Ghahremani2. Graph Neural Network for learning complex problemsChethana C3. Adaptive Software platform architecture for Aerial Vehicle Safety Levels in real-world applicationsRakesh Shrestha, Rojeena Bajracharya and Shiho Kim4. OODA Loop for Learning Open-world Novelty ProblemsPamul Yadav and Shiho Kim5. Privacy-Aware Crowd Counting Methods for Real-World EnvironmentSang Ho Lee, Kyuho Jeong and Shiho Kim6. AI and Machine Learning for 3D Computer Vision Applications in Open-worldKwanghoon Sohn7. PIM Hardware accelerators for real-world problemsDohyun Kim, Junghwan Choi and Shiho Kim8. Irregular Situations in Real-World Intelligent SystemsAshutosh Mishra and Shiho Kim9. Offline Reinforcement Learning Methods for Real-world ProblemsTaewoo Kim, Shiho Kim and Ho Suk10. Addressing Uncertainty Challenges for Autonomous Driving in Real-World EnvironmentsHo Suk, Taewoo Kim, Yerin Lee and Shiho Kim

• ISBN: 978-0-323-99928-1
• Editorial: Academic Press
• Encuadernacion: Cartoné
• Páginas: 310
• Fecha Publicación: 19/02/2024
• Nº Volúmenes: 1
• Idioma: Inglés