Papers

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 (KICS 2021)

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

Title 4: Dataset Anomalies

Last Week's Progress

Title 1:
- Improving my paper to submit ko ICT Express

Title 3:
- Surveyed related papers

Title 4:
- Surveyed related papers
- Collect dataset

This Week Todo's

Title 1:
- Continue improving to submit ko ICT Express
- ICUFN result July 15

Title 3:
- Start summer intensive paper

Title 4:
- Continue collecting dataset
- Survey related works

Project Progress

3D Monitoring Project

Last Week's Project

1. Meeting with the company
2. Study and watched online 3D controller
3. Searched and studied fault detection in 3D printers

This Week's Project

1. Continue collecting data from the 3D printer
2. Search and study 3D controller
3. Study fault detection in general

Monthly Goals

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

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

Annual Goals

1. Publish two or three conference paper (Domestic and International)
- KICS Summer 2021 (done)

2. Publish at least one International Journal