Paper 1: 3D Printer State Monitoring Mobile Application through a Deep Learning Approach
Paper 2: A Survey of Machine Learning-based Process and Fault Monitoring for Additive Manufacturing
Paper 3: [TENTATIVE TITLE] Remote FDM 3D Printer Nozzle Clog Monitoring using i-LSTM
Paper 1: Final Revisions
Paper 2: Submitted to Prof Lee for Revisions
Paper 3: Methodologies
Paper 1: Submitted to KICS
Paper 2: Apply paper revisions
Paper 3: Methodologies
3D Printing Monitor
App editing to monitor multiple printers
Pending update on 3D printer status
Submit Journal Paper
Submit Conference Paper for International Publication
Annual goals Submit Journal Paper for International Publication [80%]
Submit International Conference Paper [100%]
Finish 3D Printer Project