Detection of Steel Surface Defect Based on Machine Learning Using Deep Auto-encoder Network (original) (raw)

Deep Learning Framework for Steel Surface Defects Classification

Gangesh Chawla

INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING, 2019

View PDFchevron_right

DEFECT CLASSIFICATION IN SURFACE STRUCTURE OF STEELS USING DEEP LEARNING

IASET US

IASET, 2021

View PDFchevron_right

Research on Steel Surface Defect Detection Algorithm Based on Improved Deep Learning

GuangRong Wang, MinNing Wu, Fei Ren, FOREX Publication

IJEER , 2022

View PDFchevron_right

Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey

michela prunella

IEEE Access

View PDFchevron_right

Metal Surface Defect Inspection through Deep Neural Network

Md. Fantacher Islam

2018

View PDFchevron_right

Metal Defect Classification Using Deep Learning

Aji Teguh Prihatno

2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), 2021

View PDFchevron_right

Research on Recognition Technology of Aluminum Profile Surface Defects Based on Deep Learning

ruofeng wei

2019

View PDFchevron_right

Defect Detection and Classification on Hot-Rolled Steel Using Machine Learning and Deep Learning Algorithms: A Comparative Analysis

Stanley Otieno

Research Square (Research Square), 2023

View PDFchevron_right

Defect Detection in Manufacturing: An Integrated Deep Learning Approach

shakir tewogbade

Journal of Computer and Communications, 2024

View PDFchevron_right

Steel Surface Defect Classification Using Deep Residual Neural Network

Jakub Karol Brezina

Metals

View PDFchevron_right

Deep-Learning-Based Computer Vision System for Surface-Defect Detection

Danijel Skočaj

Lecture Notes in Computer Science, 2019

View PDFchevron_right

Deep Ensemble Transfer Learning-based Approach for Classifying Hot-Rolled Steel Strips Surface Defects

Hafed Zarzour

View PDFchevron_right

Unsupervised Surface Defect Detection Using Deep Autoencoders and Data Augmentation

abdul mujeeb

2018 International Conference on Cyberworlds (CW), 2018

View PDFchevron_right

The Impact of a Number of Samples on Unsupervised Feature Extraction, Based on Deep Learning for Detection Defects in Printed Circuit Boards

Alexei Sourin, Abdul Mujeeb

Future Internet, 2021

View PDFchevron_right

The Amalgamation of the Object Detection and Semantic Segmentation for Steel Surface Defect Detection

mansi sharma

Applied Sciences

View PDFchevron_right

Segmentation-based deep-learning approach for surface-defect detection

Samo Šela

Journal of Intelligent Manufacturing

View PDFchevron_right

Welding Defect Detection with Deep Learning Architectures

Paolo Tripicchio

Welding Principles and Application [Working Title], 2022

View PDFchevron_right

A Generic Deep-Learning-Based Approach for Automated Surface Inspection

Terence Hung

IEEE Transactions on Cybernetics, 2017

View PDFchevron_right

Self-supervised pre-training of CNNs for flatness defect classification in the steelworks industry

Valentina Colla

International Journal of Advances in Intelligent Informatics

View PDFchevron_right

Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks

Andrea Bonci

Sensors

View PDFchevron_right

About the Application of Autoencoders For Visual Defect Detection

Richárd Rádli

2021

View PDFchevron_right

One class based feature learning approach for defect detection using deep autoencoders

Abdul Mujeeb

Advanced Engineering Informatics, 2019

View PDFchevron_right

IRJET- A Comprehensive Survey of Defect Detection in Manufacturing Products using Deep Learning Techniques

IRJET Journal

IRJET, 2021

View PDFchevron_right

Synthetic data augmentation for surface defect detection and classification using deep learning

Saksham Jain

Journal of Intelligent Manufacturing, 2020

View PDFchevron_right

Metal Surface Defect Detection using Segmentation and Decision Networks

IJRASET Publication

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

View PDFchevron_right

Basic Application of Deep Convolutional Neural Network to Visual Inspection

Maki Habib

2018

View PDFchevron_right

Integration of Deep Learning Network and Robot Arm System for Rim Defect Inspection Application

Ying-Ren Chien

Sensors

View PDFchevron_right

Impact of Image Compression on the Performance of Steel Surface Defect Classification with a CNN

Lamiae Eloutouate

Journal of Sensor and Actuator Networks

View PDFchevron_right

Detection of Printed Circuit Board Defects on ENIG and ENIPIG Surface Finishes with Convolutional Neural Networks and Evaluation of Training Parameters

Thomas Krivec

Journal of Microelectronics and Electronic Packaging

View PDFchevron_right

Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features

chiraz Ajmi

Advances in Materials Science and Engineering

View PDFchevron_right

Detecting Defects in PCB using Deep Learning via Convolution Neural Networks

venkat anil Adibhatla

2018 13th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT), 2018

View PDFchevron_right

Photometric Stereo-Based Defect Detection System for Steel Components Manufacturing Using a Deep Segmentation Network

Ander Arbelaiz

Sensors

View PDFchevron_right

Weld Defect Detection Based on Deep Learning Method

Chaoqun Zhang

View PDFchevron_right

Classification and Fast Few-Shot Learning of Steel Surface Defects with Randomized Network

Amr M.Nagy

Applied Sciences

View PDFchevron_right

Machine Design Automation Model for Metal Production Defect Recognition with Deep Graph Convolutional Neural Network

Melike Artar

Electronics

View PDFchevron_right