Artificial Intelligence and Machine Learning for Open-world Novelty

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