In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...
Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...
In the medical field, the detection of gastrointestinal polyps through endoscopic images is confronted with challenges such as complex backgrounds and numerous irrelevant factors. These issues often ...
Abstract: Pavement crack detection poses a formidable challenge due to the intricate texture structures of cracks and the complex environmental settings in which they are situated. In recent years, ...
Abstract: Automated sewer defects detection has become an important trend for better management and maintenance of urban sewer systems. Deep learning technology has developed rapidly and offers an ...
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