Nvidia's (NVDA-1.39%) hardware made a name for itself in powering high-end video game graphics, but in recent years, the ...

Abstract: Series dc arc fault creates a fire hazard and negative impacts on the distribution bus if not detected and isolated quickly. However, the detection of a series arc fault is challenging due ...

Abstract: Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features. The prime challenges ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the ...

If you were to drop a pin anywhere in the U.S. right now, you would likely hit an area that uses Cybercheck in criminal ...

To run the code, user must have the required Dataset on their system or programming environment. Upload the notebook and dataset on Jupyter Notebook or Google Colaboratory. Click on the file with ...

For patients here in the commonwealth and across the country, we’re on the cusp of a new era in cancer care — one that could ...

The Soviet PFM-1, also known as the butterfly mine for its winged shape, was designed with chilling precision. Dropped from ...

When disaster strikes, swift and accurate damage assessment becomes a matter of life and death. Traditional ground surveys, although reliable, are often hampered by inaccessible roads, ongoing hazards ...

Artificial intelligence is transforming how we live and work, from personalized recommendations to health care innovation.

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