Paper 1: Machine Learning-Based Fault Monitoring in Additive Manufacturing: Challenges and Opportunities
Paper 2: Design of a In-process Quality Monitoring Scheme for FDM-type 3D Printer using Deep Learning Algorithm
Paper 3: IoT-Enabled Predictive Maintenance in Smart Additive Manufacturing Factory
Paper 4: An Overview of Opportunities and Challenges of Edge Computing in Smart Manufacturing
Paper 5: Design and Implementation of a Printing Path Simulator for Additive Manufacturing
Paper 6: 3D Printer State Monitoring Mobile Application through a Deep Learning Approach
Paper 1: Submitted to IEEE Industrial Electronics Magazine
Paper 2: Submitted to IEEE Transactions in Industrial Electronics
Paper 3: Working on Conclusion
Paper 4: Submit to Prof Lee
Paper 5: Submitted to KICS
Paper 6: Accepted to AdCONIP
Paper 1: Apply revisions and submit to a different journal
Paper 2: Submitted to IEEE Transactions in Industrial Electronics
Paper 3: Working on Conclusion
Paper 4: Submit to Prof Lee
Paper 5: Submitted to KICS
Paper 6: Revise Paper and Resubmit
3D Printing Monitor
- Fixed Bugs
- Created Animation
Debugging
- Submit journal paper [done]
- Submit conference paper
- Publish journal paper
- Submit conference paper