Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions
Abstract: With the rapid growth of internet usage and the increasing number of connected devices, there is a critical need for advanced Network Traffic Classification (NTC) solutions to ensure optimal ...
The Auto Wire on MSN
Robotaxis Keep Driving Into Fire Scenes, and Washington Just Admitted There's No Rule Against It
Every state in the country tests new drivers on the same handful of judgment calls: what to do when you see flares in the ...
PCMag on MSNOpinion
More Like Stalking Than Security: The Quiet Threat of License Plate Cameras
You know those cameras you've seen pop up around town? They're not police cameras. They're run by Flock Safety, a private ...
Today, we're looking at how radio traffic reporters craft an on-air delivery that informs without overloading the listener.
Since the 1900s, speed limit signs have attempted to keep roads safe and traffic moving. Initially set by individual states, federal speed limit laws were passed in the 1970s. Suffice to say, speed ...
The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
More than 600 cameras have been mapped in Tarrant County alone.
Driver monitoring systems in cars have used cameras to detect distracted driving since at least 2006.
The National Highway Traffic Safety Administration issued a rare warning to autonomous vehicle developers to address the “recent, disturbing trend” of driverless vehicles interfering with law ...
New research shows AI visibility rankings shift between runs. Learn why a single reading is mostly noise and how many samples you actually need.
A computer vision based AI driver assistance prototype that detects road objects, estimates approximate distance, tracks objects, shows risk levels, gives voice warnings, and displays everything ...
Abstract: The detection of anomalous power consumption is critical for improving energy efficiency, particularly with the increasing demand in buildings. This study explores Convolutional Neural ...
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