Unlocking the 'black box' of carbon materials: Study reveals origins of defect peaks

Carbon materials, such as carbon fibers and activated carbons, are essential across a wide variety of fields, encompassing everything from aerospace engineering to fuel cells and thermal insulation.
Tech Xplore

Reliably detecting and clearly explaining deepfake images

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Fabbaloo

Deep Learning Spots 3D Print Defects In Process

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

Automated Sewer Defects Detection Using Style-Based Generative Adversarial Networks and Fine-Tuned Well-Known CNN Classifier

Abstract: Automated sewer defects detection has become an important trend for better management and maintenance of urban sewer systems. Deep learning technology has developed rapidly and offers an ...
Frontiers

Research on gastrointestinal polyp detection method based on improved YOLOv7

In the medical field, the detection of gastrointestinal polyps through endoscopic images is confronted with challenges such as complex backgrounds and numerous irrelevant factors. These issues often ...
IEEE

A Hybrid CNN-SVM Algorithm for Detecting Manufacturing Defects

Abstract: In complex industrial manufacturing processes, various defects may occur in products because of the poor quality of the equipment, materials, and human factors. These defects may lead to ...