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

Title 4: Dataset Anomalies

Last Week's Progress

Title 1:
- Waiting for the result

Title 2:
- Submitted to KICS
- Prepared a presentation

Title 3:
- Search related papers
- Continue writing journal paper

This Week Todo's

Title 1:
- Waiting for the result (June 15)

Title 2:
- Preparing for the KICS Summer conference

Title 3:
- Study fault detection and prediction in general
- Continue writing and search for related work
- Re-simulate fault prediction in previous studies

Title 4:
- Familiarizing this type of paper
- Search and study-related paper

Project Progress

3D Monitoring Project

Last Week's Project

1. Actual test in 3D printer
2. Search and study 3D controlling system
3. Study-related work

This Week's Project

1. Continue study 3D controlling system
2. Watch an online tutorial
3. Continue actual test in 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 in general
- Raspberry Pi (Data collection)

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

3. Journal paper
- Search and review related works
- Compare conventional and machine learning methods

Annual Goals

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