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: Machine Learning and Deep Learning Approaches for Intrusion Detection in
Internet of Things: A Survey
- With Gab and Adi
Title 6: Anomaly Inspection in 3D Printer using deep learning-based
- KICS Summer
Title 2
- Working with the dataset
Title 5
- Surveyed papers
Title 6
- Paper writing
- Simulate
Title 2
- Dataset collection
- Annotate collected data
Title 6
- Simulation
- Finish the paper and submit it to KICS Summer
3D Monitoring Project
- Solving the issue in MLPGA
- Translated the PDFs for the dataset
- Working with the issue in MLPGA
- Submit the report to the company
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)
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/Dataset collection (working on progress)