Tuesday, 6:35 PM EDT - 8:05 PM EDT
Technical Session
Presentations
Note: Presentations may start a few minutes before the time listed in the schedule.
| Participant Role | Details | Start Time | Minutes | Action |
|---|---|---|---|---|
| Other Time | Introduction | 06:35 PM | 5 | |
| Submission | An Artificial Neural Network Model for Flexoelectric Actuation and Control of Beams | 06:40 PM | 10 | View |
| Submission | An Empirical Study of Machine Learning and Deep Learning Methods on Bearing Fault Diagnosis Benchmarks | 06:50 PM | 10 | View |
| Submission | Intelligent Defect Diagnosis of Spiral Bevel Gears Under Different Operating Conditions Using ANN and KNN Classifiers Defect Diagnostics of Spiral Bevel Gears Under Different Operating Conditions Using ANN and KNN Classifier | 07:00 PM | 10 | View |
| Other Time | Q&A | 07:10 PM | 10 | |
| Submission | Heave Motion Prediction of Rectangular Floating Barge Using Artificial Neural Network | 07:20 PM | 10 | View |
| Submission | Surrogate Modeling of Acoustic Field-Assisted Particle Patterning With Application to Smart Polymer Composite Fabrication in Stereolithography: A Physics-Informed Deep-Learning Approach. | 07:30 PM | 10 | View |
| Submission | A Physics-Informed Recurrent Neural Network Approach for Long-Term Predictive Modeling of Nonlinear Dynamical Systems | 07:40 PM | 10 | View |
| Other Time | Q&A | 07:50 PM | 10 | |
| Other Time | Closing Remarks | 08:00 PM | 5 | |
| Total: | 90 Minute(s) |