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.
Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
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 ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...
The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...
An update to the markets of Jonathan David has led experts to update predictions and odds for the Canada-Morocco Round of 16 match on Saturday, July 4, 2026.
Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.
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