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.
Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...
Pediatric hospital medicine is rapidly advancing with new research focusing on clinical management, quality improvement, health equity, and technology. This summary highlights the top articles from ...
In 2025, AI agents gained the ability to manipulate the real world — through Skills, MCP servers, and tool use. Claude can now run code, query databases, control browsers, and execute complex ...
Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...
aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
The crash occurred in Rio de Janeiro on Sunday, June 14 Samir Hussein/WireImage Oliver Tree was among the six fatalities in a fiery crash involving two helicopters that collided on June 14 The "Life ...
A Pellenc mechanical harvester straddles the cherry tree and shakes the fruit loose in one pass, collecting cherries onto a conveyor below — replacing hours of hand-picking with a single automated ...
Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results