Wafer map defect pattern classification using deep learning model
Wafer maps are generated during wafer testing in the semiconductor manufacturing process. They contain valuable information that helps engineers identify faults in the fabrication process. Classification of defect patterns is necessary to identify the root cause of die failures, and deep learning mo...
| Main Author: | Lim, Yu Pin |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2023
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/6038/ http://eprints.utar.edu.my/6038/1/fyp_CS_2023_LYP.pdf |
Similar Items
Evaluation of the Transfer Learning Models in Wafer Defects Classification
by: Jessnor Arif, Mat Jizat, et al.
Published: (2022)
by: Jessnor Arif, Mat Jizat, et al.
Published: (2022)
The formulation of a transfer learning pipeline for the classification of the wafer defects
by: Lim, Shi Xuen
Published: (2023)
by: Lim, Shi Xuen
Published: (2023)
Evaluation of the machine learning classifier in wafer defects classification
by: Jessnor Arif, Mat Jizat, et al.
Published: (2021)
by: Jessnor Arif, Mat Jizat, et al.
Published: (2021)
The Classification of Wafer Defects: A Support Vector Machine with Different DenseNet Transfer Learning Models Evaluation
by: Ismail, Mohd Khairuddin, et al.
Published: (2023)
by: Ismail, Mohd Khairuddin, et al.
Published: (2023)
An attention-augmented convolutional neural network with focal loss for mixed-type wafer defect classification
by: Batool, Uzma, et al.
Published: (2023)
by: Batool, Uzma, et al.
Published: (2023)
Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation
by: Mahdavipour, Zeinab
Published: (2016)
by: Mahdavipour, Zeinab
Published: (2016)
Classification of rail defect based on B-type display image using deep learning method
by: Li, Jie
Published: (2023)
by: Li, Jie
Published: (2023)
Effect of image compression using fast fourier transformation and discrete wavelet transformation on transfer learning wafer defect image classification
by: Jessnor Arif, Mat Jizat, et al.
Published: (2020)
by: Jessnor Arif, Mat Jizat, et al.
Published: (2020)
Automated visual defect detection using deep learning
by: Loh, Xiao
Published: (2022)
by: Loh, Xiao
Published: (2022)
An Optical Set-Up For Inspecting Edge Chipping Defects Of Dws Solar Wafer
by: Lim, Thai Li
Published: (2019)
by: Lim, Thai Li
Published: (2019)
Wood defect detection and classification using deep learning / Yap Yi Ren
by: Yap, Yi Ren
Published: (2019)
by: Yap, Yi Ren
Published: (2019)
Deep learning for image classification
by: Koi, Chin Chong
Published: (2024)
by: Koi, Chin Chong
Published: (2024)
Blood cell classification using deep learning
by: Liaw, Mun Kin
Published: (2022)
by: Liaw, Mun Kin
Published: (2022)
Studies on classification of FMRI data using deep learning approach
by: Mohd Suhaimi, Nur Farahana, et al.
Published: (2015)
by: Mohd Suhaimi, Nur Farahana, et al.
Published: (2015)
Improving diabetic retinopathy classification using transfer learning and optimized deep learning models
by: Dai, Cheng Xiao
Published: (2024)
by: Dai, Cheng Xiao
Published: (2024)
Automated detection and classification of Leukemia using deep learning
by: Lee, Kye Fung
Published: (2022)
by: Lee, Kye Fung
Published: (2022)
Human behaviors classification using deep learning technique
by: Shun, Cheang Chi, et al.
Published: (2022)
by: Shun, Cheang Chi, et al.
Published: (2022)
Ball classification through object detection using deep learning for handball
by: Arzielah Ashiqin, Alwi, et al.
Published: (2020)
by: Arzielah Ashiqin, Alwi, et al.
Published: (2020)
Design And Fabrication Of Semi-Auto Wafer Scriber For 4-In And 8-In Wafers
by: Tarmizi, Illma Laili Yasmin
Published: (2018)
by: Tarmizi, Illma Laili Yasmin
Published: (2018)
Detecting head in pillow defect (HIP) by using deep learning and image processing technique
by: Tan, Wei Jin
Published: (2021)
by: Tan, Wei Jin
Published: (2021)
Investigation of deep learning model for vehicle classification
by: Ahsiah, Ismail, et al.
Published: (2026)
by: Ahsiah, Ismail, et al.
Published: (2026)
Deep Learning for Coral Classification
by: Mahmood, A., et al.
Published: (2017)
by: Mahmood, A., et al.
Published: (2017)
Characterization of defects generated by copper electrochemical plating process on silicon wafers / Yasmin Abdul Wahab
by: Abdul Wahab, Yasmin
Published: (2008)
by: Abdul Wahab, Yasmin
Published: (2008)
Deep learning method based for breast cancer classification
by: Irmawati, Irmawati, et al.
Published: (2023)
by: Irmawati, Irmawati, et al.
Published: (2023)
Single-cell classification, analysis, and its application using deep learning techniques
by: Premkumar, R., et al.
Published: (2024)
by: Premkumar, R., et al.
Published: (2024)
Classification of brain tumors: using deep transfer learning
by: Husin, Nor Azura, et al.
Published: (2023)
by: Husin, Nor Azura, et al.
Published: (2023)
Rapid bacterial colony classification using deep learning
by: Son Ali, Akbar, et al.
Published: (2022)
by: Son Ali, Akbar, et al.
Published: (2022)
Arrhythmia heart disease classification using deep learning
by: Abdulkarim Farah, Abdulkhaliq
Published: (2020)
by: Abdulkarim Farah, Abdulkhaliq
Published: (2020)
Deep learning-based classification model for botnet attack detection
by: Ahmed, Abdulghani Ali, et al.
Published: (2020)
by: Ahmed, Abdulghani Ali, et al.
Published: (2020)
A systematic review of deep learning microalgae classification and detection
by: Madkour, Dina M., et al.
Published: (2023)
by: Madkour, Dina M., et al.
Published: (2023)
Investigation Of Oxidation Process On SOI Wafer
by: Salleh, Shaharatul A’ini
Published: (2022)
by: Salleh, Shaharatul A’ini
Published: (2022)
Herbal plant image classification using transfer learning and fine-tuning deep learning model
by: Khalid, Fatimah, et al.
Published: (2024)
by: Khalid, Fatimah, et al.
Published: (2024)
Herbal plant image classification using transfer learning and fine-tuning deep learning model
by: Khalid, Fatimah, et al.
Published: (2024)
by: Khalid, Fatimah, et al.
Published: (2024)
Modeling CMOS wafer production line using promodel software
by: Al-Khateeb, Khalid A. Saeed, et al.
Published: (2011)
by: Al-Khateeb, Khalid A. Saeed, et al.
Published: (2011)
Die defect detection for integrated circuit using deep learning object detection techniques
by: Wong, Tack Hwa
Published: (2023)
by: Wong, Tack Hwa
Published: (2023)
Pilot study of breast cancer classification using deep learning approach
by: Chong, Kim Yew
Published: (2020)
by: Chong, Kim Yew
Published: (2020)
Life Cycle Assessment: Case Study In Wafer Fabrication
by: Murad, Marfaiza
Published: (2014)
by: Murad, Marfaiza
Published: (2014)
Deep learning model for opinion mining
by: Lee, Hao Jie
Published: (2022)
by: Lee, Hao Jie
Published: (2022)
Multilingual profanity detection API using deep learning
by: Lim, Dao Ern
Published: (2022)
by: Lim, Dao Ern
Published: (2022)
Analysis Of Personal Protective Equipment Classification Method Using Deep Learning
by: Siti Zahrah Nur Ain, Silopung
Published: (2022)
by: Siti Zahrah Nur Ain, Silopung
Published: (2022)
Similar Items
-
Evaluation of the Transfer Learning Models in Wafer Defects Classification
by: Jessnor Arif, Mat Jizat, et al.
Published: (2022) -
The formulation of a transfer learning pipeline for the classification of the wafer defects
by: Lim, Shi Xuen
Published: (2023) -
Evaluation of the machine learning classifier in wafer defects classification
by: Jessnor Arif, Mat Jizat, et al.
Published: (2021) -
The Classification of Wafer Defects: A Support Vector Machine with Different DenseNet Transfer Learning Models Evaluation
by: Ismail, Mohd Khairuddin, et al.
Published: (2023) -
An attention-augmented convolutional neural network with focal loss for mixed-type wafer defect classification
by: Batool, Uzma, et al.
Published: (2023)