Pool.mp4 [ SAFE ✭ ]

Propose a 3D Convolutional Neural Network (3D CNN) to extract spatial-temporal features. 4. Training & Evaluation

Describe the I3D (Inflated 3D) training on the dataset. Results: Present the accuracy of heat flux estimation. Discussion: Analyze how the model performs on the video. 5. Conclusion pool.mp4

Solid Paper Structure: Machine Learning-Based Pool Boiling Analysis Propose a 3D Convolutional Neural Network (3D CNN)

Describe the high-speed video capture of the boiling events. referencing Chun & Kang.

Discuss previous work on nucleate pool boiling, referencing Chun & Kang.