Deep active learning (DeepAL) extends supervised deep learning to human-machine interactive scenarios with limited annotation budgets. Most existing DeepAL approaches for visual recognition fail to ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

Participants performed touchscreen-based reaching tasks while wearing wireless motion sensors, which recorded linear acceleration, angular velocity, and roll-pitch-yaw orientation at millisecond ...

Oceans are facing a multitude of climate-induced stresses including acidification, sea-level rise, warming waters, and ice ...

DNA barcodes with short sequence fragments are used for species identification. Because of advances in sequencing technologies, DNA barcodes have gradually been emphasized. DNA sequences from ...

A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...