In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...
Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...
The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...
Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI ...
As advanced packaging pushes deeper into the sub-10µm realm, traditional inspection and metrology systems are being forced to evolve with it. Hybrid bonding, a critical enabler of vertical integration ...
Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
A MATLAB project for shape and traffic sign recognition using classical image processing techniques. It includes color segmentation, feature extraction (Hu moments, HOG, LSS), and classification with ...
Abstract: In the area of manufacturing, ensuring the integrity of structural elements of steel parts is important for safety and quality control The traditional systems of defect detection in steel ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results