Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Author Adibhatla, VA
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) |
|---|---|---|
| 21-May-2021 | Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once | Adibhatla, VA; Chih, H-C; Hsu, C-C; Cheng, J; Abbod, MF; Shieh, J-S |
| 22-Sep-2020 | Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks | Adibhatla, VA; Chih, H-C; Hsu, C-C; Cheng, J; Abbod, M; Shieh, JS |
| 2019 | Detecting defects in PCB using deep learning via convolution neural networks | Adibhatla, VA; Shieh, JS; Abbod, MF; Chih, HC; Hsu, CC; Cheng, J |
| 20-Dec-2021 | Unsupervised anomaly detection in printed circuit boards through student–teacher feature pyramid matching | Adibhatla, VA; Huang, YC; Chang, MC; Kuo, HC; Utekar, A; Chih, HC; Abbod, MF; Shieh, JS |