Title 1: Multimodal 3D printer fault classification using Bi-LSTM
- Target: ICT Express
Title 2: Edge AI-based 3D Printer Monitoring and Fault Prediction
- Target: IEEE Transaction on Industrial Electronics
Title 3: Intelligent Fault Classification of 3D Printers Using Long Short-Term Memory
- KICS Winter (Accepted)
Title 4: 3D Printer Anomaly Detection and Prediction: A Survey (tentative)
- Target: --
Title 5: Anomaly Detection in 3DP using deep learning-based
- KICS Summe
Title 1
- Worked with paper and contribution
Title 2
- Discussed with the company dataset
Title 1
- Finish all the additional contribution
- Discuss with Prof Lee
Title 5
- Start writing
- Simulate
3D Printing Monitoring
- Team meeting
- Worked with the laser path
- Discussed with the new project
- Discuss the laser path
- Implement laser path
- Submit a report to the conception
1. Learn more about machine learning and deep learning with Python
- Online tutorials
- Re-simulate what I learned
2. Journal
- ICT Express Paper (Pr)
- IEEE TIE (Pr)
3. Metal 3DP
- Finish monthly tasks
1. Publish two or three conference papers (Domestic and International)
- KICS Winter ✓
- KICS Summer (working on progress)
2. Publish at least one International Journal (SCI/SCIE)
- ICT Express (working on progress)
- IEEE Transaction on Industrial Electronics (working on progress)
- Survey Paper (working on progress)