Machine learning reveals that ocean conditions are increasingly becoming more favorable for macroalgae growth.
The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
Anthropic dropped Claude Opus 4.7 on April 16, 2026, just days ago. A leak had the AI community buzzing for weeks beforehand. Now it's here, and it's their ...
Abstract: The motion control of distributed drive electric vehicles (DDEVs) under extreme operating conditions is significantly affected by the strong nonlinearities in vehicle dynamics. A novel ...
Abstract: Personalized facial expression recognition (FER) involves adapting a machine learning model using samples from labeled sources and unlabeled target domains. Given the challenges of ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD than traditional tools. Heart failure is one of the most serious and ...
VIENNA — A machine learning model using routinely collected laboratory parameters estimates low-density lipoprotein cholesterol (LDL-C) with reasonable accuracy, potentially offering a practical and ...
aDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China bKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results