wafer-defects
There are 10 repositories under wafer-defects topic.
PanithanS/Wafers-Defect-Recognition-using-Visual-Transformer
We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.
kannanjayachandran/Wafers-Fault-Detection
End to end machine learning project for accurately detecting faults in wafers based on sensor data.
vignes-12/senior-design-project-28-wafer-defect-detection
This project aims to process 2D images of semiconductor silicon wafers to identify any defects on the wafers as well as their corresponding locations.
Burhan-Q/ClassifyDefectMap_MixedWM38
Classification of wafer defect map patterns
JNewman-cell/WaferMapNeuralNetworkClassification
This is a neural network designed to classify wafer imperfections without feature engineering.
suryanshyaknow/faulty-wafer-component-detection
data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.
Anil-45/Faulty_wafer_detection
Faulty Wafer Detection
gilzeevi25/ScratchDetection
This repo contains well-designed tabular features created through image processing techniques in order to predict a scratch on wafers.
Mahenoor-Merchant/WaferFaultDetection
This repository hosts a comprehensive end-to-end machine learning project focused on Wafer Fault Detection, implemented using Python with Flask.
suryanshyaknow/wafer-fault-detection
data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.