Spread the love“`html In any product-driven industry, dealing with product defects is a given. No matter how stringent the quality checks or how dedicated the design team, issues can arise during ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Abstract: This research examines anomaly detection in cybersecurity by utilizing various machine learning classifiers, including Naive Bayes, Artificial Neural Network (ANN), Support Vector Machine ...

Abstract: Phishing attacks have grown into a widespread threat to cybersecurity, exploiting the rapid growth of the internet and digital resources. These attacks typically mislead victims into ...