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

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• Engenharia do software
• Matemática

Artificial Intelligence; Machine Learning; Open-world Novelty; Graph Neural Network; Meta Learning; Mobile NPU bench marking; OODA loop