In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Meanwhile, traditional machine learning-based encrypted malware traffic identification methods, such as using the multi-classification supervised learning model, are inefficient both in model training ...

Researchers have developed various methods to calibrate distance sensors; however, they mainly focus on using external information for calibration, which is inefficient and computationally expensive.

A joint study has evaluated the usability of a compact EEG device (BrainStatus) developed by Bittium Biosignals from Oulu ...

Efficient prioritization of bioactive compounds from high throughput screening campaigns is a fundamental challenge for accelerating drug development efforts. In this study, we present the first ...

“Nothing Is as Great a Learning Experience as Getting a $15,000 Bill”: A Mixed-Methods Study of Young Adult Cancer Survivors' Experience With Insurance Coverage The following represents disclosure ...