Highlight the difficulty in measuring instantaneous heat flux in real-time.
Describe the high-speed video capture of the boiling events. pool.mp4
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
Propose a 3D Convolutional Neural Network (3D CNN) to extract spatial-temporal features. 4. Training & Evaluation pool.mp4
Solid Paper Structure: Machine Learning-Based Pool Boiling Analysis
Summary of the 3D CNN's ability to map visual boiling features to thermal measurements. To make this paper truly "solid,"
Explain saturated pool boiling on vertical tubes.