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

[1] Submitted to ICUFN 2021
- Improving my paper to submit in the journal paper
- Checked plagiarism

[3] Summer Intensive 2021
- Surveyed related papers
- Label related works

This Week Todo's

[1] ICUFN 2021
- Improve paper
- Continue editing
- Await for the result (July 15)

[3] Summer Intensive 2021
- Start introduction
- Search related works
- Gather related papers

Project Progress

3D Printing

Last Week's Project

1. Watched and studied 3D controller
2. Search related works

This Week's Project

1. Search and study-related works for fault detection in general
2. Collect data from the 3D (if the 3D printer is available)
3. Explore more about the 3D controller

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

3. Summer Intensive 2021
- Finish half of the paper
- Introduction
- related works

Annual Goals

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

2. Publish at least one International Journal