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

Researchers created an attention-multiple-instance deep learning AI model to predict whether indeterminate thyroid nodules were benign or malignant. After creating a baseline model that performed ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

"Even at the first stages of object perception, the neurons are sensitive to much more complex visual stimuli than had previously been believed, and that capability is informed by feedback from higher ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Over millions of years, these objects grew larger, sweeping up material in their orbits and becoming the planets we know today. This model of solar system formation is known as the nebular hypothesis.

deepfake-detection ... data/ # Dataset directories (create these manually) │ ├── real/ # Original real images │ └── fake/ # Original fake images │ ├── models/ # Trained model weights │ └── saved_model ...

Abstract: The aim of this research is to quickly detect cross-site scripting (XSS) attacks on the internet based on relationship diagram convolutional networks ... XSS vulnerability detection results ...

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