Paper 1: Machine Learning-Based Fault Monitoring in Additive Manufacturing: Challenges and Opportunities
Paper 2: IoT-Enabled Predictive Maintenance in Smart Additive Manufacturing Factory
Paper 3: Design and Implementation of Machine Learning-Based Fault Monitoring on a Digital Twin-Enabled System for Additive Manufacturing
Paper 4: Strategic Unmanned Aerial Vehicle (UAV) Routing: An Energy-Efficient Approach
Paper 5: MetaPrinter: A Digital Twin-Enabled Platform for 3D Printer Diagnostics
Paper 6: MetaPrint: A Virtual Additive Manufacturing Tool for Print Analysis
Paper 7: 3DP Check: A Deep Learning-Based Diagnostic Tool for Fault Monitoring in Additive Manufacturing
Paper 1: Prepare Revisions
Paper 2: Submit to ICT Express
Paper 3: RRL Writing
Paper 4: Submit to ICC
Paper 5: Submit to ICC
Paper 6: Accepted to iCORE
Paper 7: Accepted to HNICEM
Paper 1: Prepare Revisions
Paper 2: Submit to ICT Express
Paper 3: RRL Writing
Paper 4: Submit to ICC
Paper 5: Submit to ICC
Paper 6: Prepare Revisions
Paper 7: Prepare Revisions
3D Printing Monitor
- Apply improvements to GUI
- Apply improvements to GUI
- Submit journal paper [done]
- Submit conference paper [done]
- Publish 2 journal papers
- Publish conference paper [DONE]