Papers

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

Last Week's Progress

Paper 1: Apply revisions

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: Resubmitted Paper

This Week Todo's

Paper 1: Submit to a different journal

Paper 2: Apply revisions

Paper 3: Proofreading

Paper 4: Submit to Prof Lee

Paper 5: Submitted to KICS

Paper 6: Resubmitted Paper

Project Progress

3D Printing Monitor

Last Week's Project

Debugging

This Week's Project

Debugging

Monthly Goals

- Submit journal paper [done]
- Submit conference paper

Annual Goals

- Publish journal paper
- Submit conference paper