Transfer Learning-Based Ensemble Model for Hot-rolled Steel Surface Defects Classification
Published by
Journal of Artificial Intelligence and Technology
Summary
journal-article
Alaa Aldein Mohamed Suliman Ibrahim
About
Dr. Alaa Aldein Ibrahim holds a BSc and MSc in Computer Science and a PhD in Computer Engineering, and is a lecturer at the University of Al Fashir, Sudan. He is a researcher with peer-reviewed journal articles and conference papers. He is also a regular reviewer for several journals. A member of IEEE and IITPSA. Currently, he researches ML for water quality monitoring with UKZN and UUW, focusing on smart models to automate water treatment plants and boost efficiency and sustainability.
Work
University of Alfahir
|Lecturer
Sudan
→
Education
University of KwaZulu-Natal
South Africa
→
PhD
Publications
Designing a New Deep Convolutional Neural Network for Accurate Steel Surface Defects Classification
Summary
book-chapter
A Survey of Vision-Based Methods for Surface Defects’ Detection and Classification in Steel Products
Published by
Informatics
Summary
journal-article
A Survey of Vision-Based Methods for Surface Defects’ Detection and Classification in Steel Products
Published by
Informatics
Summary
journal-article
Transfer learning-based approach using new convolutional neural network classifier for steel surface defects classification
Published by
Scientific African
Summary
journal-article
Transfer learning-based approach using new convolutional neural network classifier for steel surface defects classification
Published by
Scientific African
Summary
journal-article
Steel Surface Defect Detection and Classification Using Bag of Visual Words with BRISK
Published by
Congress on Smart Computing Technologies
Summary
conference-paper
Steel Surface Defect Detection and Classification Using Bag of Visual Words with BRISK
Summary
book-chapter
Steel Surface Defect Detection and Classification Using Bag of Visual Words with BRISK
Published by
Smart Innovation, Systems and Technologies
Summary
conference-paper