Artificial Intelligence and Machine Learning for Open-world Novelty

Preface
Ganesh Chandra Deka

1. AI and Machine Learning for Real-world problems
Hamed Nozari, Agnieszka Szmelter-Jarosz and Javid Ghahremani

2. Graph Neural Network for learning complex problems
Chethana C

3. Adaptive Software platform architecture for Aerial Vehicle Safety Levels in real-world applications
Rakesh Shrestha, Rojeena Bajracharya and Shiho Kim

4. OODA Loop for Learning Open-world Novelty Problems
Pamul Yadav and Shiho Kim

5. Privacy-Aware Crowd Counting Methods for Real-World Environment
Sang Ho Lee, Kyuho Jeong and Shiho Kim

6. AI and Machine Learning for 3D Computer Vision Applications in Open-world
Kwanghoon Sohn

7. PIM Hardware accelerators for real-world problems
Dohyun Kim, Junghwan Choi and Shiho Kim

8. Irregular Situations in Real-World Intelligent Systems
Ashutosh Mishra and Shiho Kim

9. Offline Reinforcement Learning Methods for Real-world Problems
Taewoo Kim, Shiho Kim and Ho Suk

10. Addressing Uncertainty Challenges for Autonomous Driving in Real-World Environments
Ho Suk, Taewoo Kim, Yerin Lee and Shiho Kim