Jong Pil Yun

Orcid: 0000-0002-2802-9978

According to our database1, Jong Pil Yun authored at least 24 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data.
J. Ind. Inf. Integr., March, 2024

Deep Feature Selection Framework for Quality Prediction in Injection Molding Process.
IEEE Trans. Ind. Informatics, January, 2024

2023
Robust and Explainable Fault Diagnosis With Power-Perturbation-Based Decision Boundary Analysis of Deep Learning Models.
IEEE Trans. Ind. Informatics, May, 2023

Anomaly Detection using Score-based Perturbation Resilience.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep Learning-Based Explainable Fault Diagnosis Model With an Individually Grouped 1-D Convolution for Three-Axis Vibration Signals.
IEEE Trans. Ind. Informatics, 2022

Attention-Based Multimodal Image Feature Fusion Module for Transmission Line Detection.
IEEE Trans. Ind. Informatics, 2022

2021
An Explainable Convolutional Neural Network for Fault Diagnosis in Linear Motion Guide.
IEEE Trans. Ind. Informatics, 2021

Multichannel Object Detection for Detecting Suspected Trees With Pine Wilt Disease Using Multispectral Drone Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Unified deep neural networks for end-to-end recognition of multi-oriented billet identification number.
Expert Syst. Appl., 2021

An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map.
IEEE Access, 2021

Automatic Brittle Fracture Ratio Estimation Using Convolutional Neural Network Regression Based on Classmap Regulation.
IEEE Access, 2021

2019
Selective Distillation of Weakly Annotated GTD for Vision-Based Slab Identification System.
IEEE Access, 2019

Automated Brittle Fracture Rate Estimator for Steel Property Evaluation Using Deep Learning After Drop-Weight Tear Test.
IEEE Access, 2019

Deep Rotating Kernel Convolution Neural Network.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Development of Autonomous Driving Systems Using State Estimator with Multi-rate Sampled-data.
Proceedings of the IEEE International Conference on Consumer Electronics, 2019

2017
End-to-end recognition of slab identification numbers using a deep convolutional neural network.
Knowl. Based Syst., 2017

WheelLogger: Driver Tracing Using Smart Watch.
Proceedings of the Information Security Applications - 18th International Conference, 2017

Weakly supervised learning with convolutional neural networks for power line localization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Dissipative reset adaptive observer for a class of singular systems.
Proceedings of the 11th Asian Control Conference, 2017

2015
An Improved Fuzzy Attribute-Based Authentication.
Proceedings of the 5th International Conference on IT Convergence and Security, 2015

2012
Localizing slab identification numbers in factory scene images.
Expert Syst. Appl., 2012

2009
Pinhole detection in steel slab images using machine vision.
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009

A text localization algorithm in images for automatic recognition of slab identification numbers.
Proceedings of the 10th European Control Conference, 2009

2007
Enhancement of Dynamic Encoding Algorithm for Searches (DEAS) via Modified Decoding Function and Hopping Operation.
Proceedings of the Third International Conference on Natural Computation, 2007


  Loading...