Pool.mp4 Here

Propose a 3D CNN model to estimate heat flux using pool.mp4 . 2. Related Work

Explain how the video is converted into a 3D dataset (height, width, time).

Highlight the difficulty in measuring instantaneous heat flux in real-time. pool.mp4

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

Describe the high-speed video capture of the boiling events. Propose a 3D CNN model to estimate heat flux using pool

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

Solid Paper Structure: Machine Learning-Based Pool Boiling Analysis referencing Chun & Kang.

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