So-called deepfakes, that is, images and videos generated with the help of artificial intelligence, are becoming increasingly ...
Rainfall history is just as critical to predicting air pollution as where the air came from, a team led by University of Michigan Engineering researchers, in collaboration with scientists at the ...
Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...
Presentation Attack Detection (PAD) systems rely on analyzing facial dynamics, particularly the movement of eyes and mouth regions, to distinguish between live faces and spoofing attempts. Face mask ...
Abstract: Diabetic Retinopathy (DR) diagnosis is often automated with the use of artificial intelligence. One of the most prevalent and significant contributors to blindness and vision impairment is ...
Efficiently process large datasets & develop advanced model pipelines for diabetic retinopathy detection. Streamlining diagnosis. In this project, large datasets are efficiently handled by downloading ...
Abstract: Nowadays, ensuring road safety is a crucial issue that demands continuous development and measures to minimize the risk of accidents. This paper presents the development of a driver fatigue ...
Ali Hassan Shah has deployed a deep learning model for hand gesture recognition on the ESP32-S3-EYE board using the ESP-DL library and achieved AI-powered hand recognition with a 0.7-second latency on ...
With the development of bionic computer vision for images processing, researchers have easily obtained high-resolution zoom sensing images. The development of drones equipped with high-definition ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results