Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Mischief-makers can guess the subjects being discussed with LLMs using a side-channel attack, according to Microsoft ...

Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...

Understand the risks of encrypted AI traffic exposure and explore practical steps users and cloud providers can take to stay ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

AI is transforming economic analysis, from natural language processing of central bank headlines to satellite imagery outperforming official statistics. This analysis is looking at how AI is enhancing ...