Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
The image shows the proposed IoT-enabled real-time building fire detection system, integrating MQ-2 smoke sensing, DHT11 temperature and humidity sensing, NodeMCU ESP8266 control, relay-based alarm ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed ...
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results