Papers

Paper titles:
Title 1: Deep learning-based 3D printer fault detection
- Submitted to ICUFN

Title 2: An inference time-efficient 3D printer fault detection using CNN
- Submitted to KICS

Title 3: Deep learning-based fault prediction
- Journal Paper

Last Week's Progress

Title 1:
- Waiting for the result (submission extended)

Title 2:
- Submitted to KICS

Title 3:
- Study-related paper for fault detection
- Started to write my journal

This Week Todo's

Title 1:
- Waiting for the result (July 1)

Title 2:
- KICS

Title 3:
- Study fault detection and prediction in general
- Re-simulate fault prediction in previous studies
- Read and find motivation in previous studies
- Continue writing the introduction and search for related works

Project Progress

3D Monitoring Project

Last Week's Project

1. Explore 5G module
2. Surveyed related works

This Week's Project

1. Continue working on the 5G module
2. Continue collecting data from the 3D printer
3. Actual test for the new 3D printer

Monthly Goals

1. Search and review related papers
- python and LabView/MatLab integration
- Controlling the 3D printer
- Machine learning with the 3D printer
- Fault detection and prediction

2. Learn more about machine learning and deep learning with Python
- Study for online tutorials
- Re-simulate what I learn

3. Journal paper
- Search and review related works
- Compare conventional and machine learning methods
- Start writing my journal

Annual Goals

1. Publish two or three conference paper (Domestic and International)
2. Publish at least one international journal