[HTML][HTML] Transfer learning-based approach using new convolutional neural network classifier for steel surface defects classification
AAMS Ibrahim, JR Tapamo - Scientific African, 2024 - Elsevier
Automatic surface defect detection of industrial products using visual inspection has
progressively replaced manual defect detection of steel strips and become a necessary part …
progressively replaced manual defect detection of steel strips and become a necessary part …
[HTML][HTML] Wavelet Texture Descriptor for Steel Surface Defect Classification
The accurate and efficient classification of steel surface defects is critical for ensuring
product quality and minimizing production costs. This paper proposes a novel method based …
product quality and minimizing production costs. This paper proposes a novel method based …
A Survey of Vision-Based Methods for Surface Defects' Detection and Classification in Steel Products
AAMS Ibrahim, JR Tapamo - Informatics, 2024 - mdpi.com
In the competitive landscape of steel-strip production, ensuring the high quality of steel
surfaces is paramount. Traditionally, human visual inspection has been the primary method …
surfaces is paramount. Traditionally, human visual inspection has been the primary method …
Автоматизований контроль металопрокату з використанням глибоких нейронних мереж (комплексна тема)
ВВ Андрушків, ВМ Футрик - 2024 - elartu.tntu.edu.ua
Для вирішення проблеми виявлення поверхневих дефектів при інспекції дефектів
металопрокату використано методи глибокого навчання. Кваліфікаційні робота …
металопрокату використано методи глибокого навчання. Кваліфікаційні робота …
[PDF][PDF] Scientific African
abstract In this paper, a derivative-free method for solving convex constrained nonlinear
equations involving a monotone operator with a Lipschitz condition imposed on the …
equations involving a monotone operator with a Lipschitz condition imposed on the …