Weld Defect Detection Based on Deep Learning Method (original) (raw)

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

Using Deep Learning for Defect Classification on a Small Weld X-ray Image Dataset

Juan Zapata

Journal of Nondestructive Evaluation, 2020

View PDFchevron_right

Deep learning-based weld defect classification using VGG16 transfer learning adaptive fine-tuning

Dev Anand

International Journal on Interactive Design and Manufacturing (IJIDeM)

View PDFchevron_right

IRJET- X-Ray Weld Defect Recognition Using Deep Learning Technique

IRJET Journal

IRJET, 2021

View PDFchevron_right

RIAWELC: A Novel Dataset of Radiographic Images for Automatic Weld Defects Classification

Stefania Perri

International Journal of Electrical and Computer Engineering Research

View PDFchevron_right

Welding Defect Detection with Deep Learning Architectures

Paolo Tripicchio

Welding Principles and Application [Working Title], 2022

View PDFchevron_right

Deep Neural Networks for Defects Detection in Gas Metal Arc Welding

Giulio Mattera

Applied Sciences

View PDFchevron_right

Non-Destructive Defect Detection Using MASK R-CNN on Industrial Radiography of Machines

IJRASET Publication

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

View PDFchevron_right

Oil Pipeline Weld Defect Identification System Based on Convolutional Neural Network

Bang Han

KSII Transactions on Internet and Information Systems, 2020

View PDFchevron_right

Automatic Defect Detection for X-Ray inspection: Identifying defects with deep convolutional network

Xavier Maldague

2019

View PDFchevron_right

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

Hafed Zarzour

View PDFchevron_right

Welding defect classification based on convolution neural network (CNN) and Gaussian kernel

Agus Khumaidi

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA), 2017

View PDFchevron_right

Inline Defective Laser Weld Identification by Processing Thermal Image Sequences with Machine and Deep Learning Techniques

michela prunella

Applied Sciences

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

Defect Detection in Manufacturing: An Integrated Deep Learning Approach

shakir tewogbade

Journal of Computer and Communications, 2024

View PDFchevron_right

Automated Defect Analysis of Additively Fabricated Metallic Parts Using Deep Convolutional Neural Networks

Hamed Ghadimi

Journal of Manufacturing and Materials Processing

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

An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products

AmirReza Tajally

ArXiv, 2021

View PDFchevron_right

Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance

Tri Le Quang

Scientific Reports

View PDFchevron_right

Intraclass Image Augmentation for Defect Detection Using Generative Adversarial Neural Networks

IƱaki Maurtua

Sensors

View PDFchevron_right

Defects Detection at Additive Manufacturing by Convolutional Deep Learning

Asghar Zajkani

DergiPark (Istanbul University), 2024

View PDFchevron_right

DEFECT CLASSIFICATION IN SURFACE STRUCTURE OF STEELS USING DEEP LEARNING

IASET US

IASET, 2021

View PDFchevron_right

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

michela prunella

IEEE Access

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

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

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

Ying-Ren Chien

Sensors

View PDFchevron_right

Detection of minute defects using transfer learning-based CNN models

Maki Habib

Artificial Life and Robotics, 2020

View PDFchevron_right

Diagnostics of welding process based on thermovision images using convolutional neural network

Grzegorz Piecuch

IOP Conference Series: Materials Science and Engineering, 2019

View PDFchevron_right

Automated Detection of Welding Defects without Segmentation

Domingo Mery

View PDFchevron_right

Review of Industry Workpiece Classification and Defect Detection using Deep Learning

Azween Abdullah

International Journal of Advanced Computer Science and Applications

View PDFchevron_right

DEEP METALLIC SURFACE DEFECT DETECTION

IAEME Publication

IAEME PUBLICATION, 2021

View PDFchevron_right

Designing of Welding Defect Samples for Data Mining in Defect Detection and Classification using 3D Geometric Scanners

Papatsorn Singhatham

Research, Invention, and Innovation Congress (RI2C), 2019

View PDFchevron_right

Deep Learning Framework for Steel Surface Defects Classification

Gangesh Chawla

INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING, 2019

View PDFchevron_right

Feature Extraction and Optimisation for X-ray Weld Image Classification

Gui Yun tian

2008

View PDFchevron_right