Significance of activation functions in developing an online classifier for semiconductor defect detection
https://doi.org/10.1016/j.knosys.2022.108818
Saved in:
Main Authors: | Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath |
---|---|
Other Authors: | ELECTRICAL AND COMPUTER ENGINEERING |
Format: | Article |
Language: | English |
Published: |
Elsevier
2023
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/238262 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
DEEP NEURAL NETWORK APPROXIMATION VIA FUNCTION COMPOSITIONS
by: ZHANG SHIJUN
Published: (2021) -
A Simulation Approach to Analyze Bridge-Defects in a 6T-SRAM Bit Cell
by: Joydeep Ghosh, et al.
Published: (2023) -
Transfer learning-based artificial intelligence-integrated physical modeling to enable failure analysis for 3 nanometer and smaller silicon-based CMOS transistors
by: JIEMING PAN, et al.
Published: (2022) -
Terminal-matched topological photonic substrate-integrated waveguides and antennas for microwave systems
by: Xu, Zhixia, et al.
Published: (2024) -
Classifying source code: How far can compressor-based classifiers go?
by: YANG, Zhou
Published: (2024)