In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

In industries, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality ...

To address these limitations, this paper introduces a hybrid detection framework that synergizes YOLOv8 and Fast R-CNN, leveraging their complementary ... effectively aggregating predictions from both ...

Abstract: Structural identifiability concerns the question of which unknown parameters of a model can be recovered from (perfect) input-output data. If all of the parameters of a model can be ...

We also want to address concerns of bias in PULSE. We have now included a new section in the paper and an accompanying model card directly addressing this bias. Given a low-resolution input image, ...

Composite Materials,Convolutional Neural Network,Deep Learning,Fault Identification,Neural Network,Ultrasonic Testing,2D Approach,2D Images,2D Model,3D Approach,3D ...

Toyota GR prioritizes gasoline-powered performance as the brand’s ‘Master Driver’ resists electric sports cars, at least for now The Chinese automaker is aiming to expand beyond its home ...

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Four object detection models: YOLOv5, YOLOv7, YOLOv8, and a Custom Fine-Tuned Model. Each model is optimized for different use cases and comes with a specific implementation to support real-time RTSP ...

"""Generate synthetic dataset for initial model training if database is empty""" ...