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 room-temperature quantum sensor captures tiny electrical changes and turns them into real-time energy-saving ...
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
In daily life and communication, people usually recognize the emotions of people around them through facial expressions, voice dialogues, body language and other external behavioral signals, so as to ...
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 ...
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: In the quest for manufacturing excellence, this article presents a pioneering approach to defect detection on steel surfaces. Complex and small defects on steel surfaces manifest in diverse ...
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