Using data from hospitals and emergency medical service providers to map out areas with the greatest need for trauma care and ...
Large Language Models (LLMs) are typically evaluated for safety under single-shot or low-budget adversarial prompting, which underestimates real-world risk. In practice, attackers can exploit ...
In 2025, some of the biggest brands, studios, and streamers quietly allocated more than $100 million to a distribution method most consumers have never heard of. It doesn't look like traditional ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
Abstract: Automated model generation (AMG) algorithms have become popular techniques for the systematic development of artificial neural network (ANN) models for microwave components. However, ...
One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...
Given a noisy linear measurement [equation] of a distribution [equation], and a good approximation to the prior [equation], when can we sample from the posterior [equation]? Posterior sampling ...
1 Department of Hydraulics, Sanitary Environmental Protection, Faculty of Hydrotechnics, Technical University of Civil Engineering of Bucharest, Bucharest, Romania. 2 Department of Hydraulics, ...
Abstract: Remote sensing change detection (RSCD) aims to identify the regions of interest that have changed between dual-temporal images. However, most deep models predict CD results by extracting ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
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