A simulated three-client framework combined stacked machine-learning models, differential privacy, federated SHAP ...
A study using 2013–2023 data from three aggregated Tabriz monitoring stations found that boosting models performed best for ...
An AI model combining ctDNA methylation and clinical data achieved an AUC of 0.903 for detecting liver cancer in patients ...
Karta is a travel-tech product that compares hotel booking options from different suppliers and uses that data to create a ...
Researchers used data from 72 BMW i3 trips and a lizard-inspired algorithm to improve predictions of EV battery charge and ...
Abstract: Transformer is the core equipment in power system. Winding faults are the main causes of sudden accidents, and it is important to obtain the winding status timely. This paper studies the ...
If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...
ABSTRACT: Rainfall-induced landslides threaten mountainous regions globally, yet existing models face challenges in real-time, large-scale prediction due to dependency on post-event data. This study ...
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