Pool.mp4 · Tested & Working

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

Review existing CNN applications. 3. Dataset & Methodology ( pool.mp4 analysis)

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

Describe the high-speed video capture of the boiling events.

Solid Paper Structure: Machine Learning-Based Pool Boiling Analysis Explain how the video is converted into a

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

Explain saturated pool boiling on vertical tubes.