3 citations · 3 across the 3 of their papers we have counts for
4 papers
Structural Preservation Governs Data Augmentation in Deep Learning-Based Laser Speckle Material Classification
Mohamed Abdallah Salem, Nourhan Zein Diab
Data augmentation is routinely used to improve generalization in image classification, but the assumptions underlying standard policies are poorly matched to coherent imaging. Lase…
Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems
Mohamed Abdallah Salem, Nourhan Zein Diab
Accurate material recognition is critical for safe and effective laser cutting, as misidentification can lead to poor cut quality, machine damage, or the release of hazardous fumes…
Towards a Safer and Sustainable Manufacturing Process: Material classification in Laser Cutting Using Deep Learning
Mohamed Abdallah Salem, Hamdy Ahmed Ashur, Ahmed Elshinnawy
Laser cutting is a widely adopted technology in material processing across various industries, but it generates a significant amount of dust, smoke, and aerosols during operation,…
Artificial intelligence approaches for energy-efficient laser cutting machines
Mohamed Abdallah Salem, Hamdy Ahmed Ashour, Ahmed Elshenawy
This research addresses the significant challenges of energy consumption and environmental impact in laser cutting by proposing novel deep learning (DL) methodologies to achieve en…