Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...
13d
A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
Que.com on MSN
The next frontier of machine learning: 2026 breakthroughs and the rise of world models
The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
This industry-collaborative PhD project offers the opportunity to work at the intersection of machine learning, structural engineering and renewable energy to develop innovative and impactful ...
Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
The advertising landscape has seen a seismic shift in the recent past. Programmatic buying and real-time bidding have made ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results