A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales.
9d
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 ...
Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...
A team of researchers presents a novel interdisciplinary strategy to tackle the complex challenge of Scope 3 emissions within ...
Scheduled in April in Rio de Janeiro, ICLR 2026 focuses on cutting-edge research on deep learning used in the fields of ...
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 ...
PsyPost on MSN
Researchers use machine learning to reveal how gasoline prices drive presidential approval ratings
The cost of filling up a vehicle with gasoline plays a major role in how American voters view their commander in chief. A ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Tech Xplore on MSN
Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the start
Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results