A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
AI-Powered Visual Defect Detection is a computer vision project that automatically identifies defective and non-defective manufactured products using deep learning. The system uses a Convolutional ...
Goycochea Casas, G.; Ismail, Z.H.; Leite, H.G. Computer Vision, Machine Learning, and Deep Learning for Wood and Timber Products: A Scopus-Based Bibliometric and ...
Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
Atomic defects can tune carbon quantum dots across UV to near-infrared light, guiding cleaner design of sensors, bioimaging ...
A software workflow automates X-ray analysis to spot crystal defects in diamond and advanced semiconductors, helping improve ...
An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...
Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results