Virual Oral Presentation Slide by Slide

IEEE/ICACT20250017 Slide.13        [Big Slide]       [YouTube]	Oral Presentation
	Our core algorithm unifies training and prediction in a single framework: Training Mode: Trains models using user-provided or pre-existing data Prediction Mode: Fills gaps in scaffolds based on trained models The process follows these steps: Preprocessing the input data Model initialization or loading Training or prediction operations Postprocessing the results We've also implemented automated features like a task queue for handling multiple training jobs asynchronously and email notifications to send scaffold results directly to users upon job completion.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!