SinoXivStroke remains a major global health burden and is a frequent and severe complication among patients with coronary heart disease (CHD). Early identification of individuals at high risk is essential fo...
Recently, deep learning density networks have become the standard baselines for financial time-series forecasting. In this paper, we introduce density networks structured using the two-stage volatilit...
Hyper-personalisation in healthcare aims to tailor health interventions by integrating biological, clinical, behavioural, social, environmental, and life-course data. Large language models (LLMs) are ...
Simulation-based inference (SBI) provides a principled route to parameter inference when a simulator is available but pointwise likelihood evaluation is infeasible. Two technical bottlenecks neverthel...
The Caudrey-Dodd-Gibbon (CDG) equation, a core constituent of the fifth-order Korteweg-de Vries (KdV)-type nonlinear wave equations, possesses exact solutions that are of pivotal significance for eluc...
Assessing Llm Hallucinations And The Reliability Of Using LLms For Automated Hallucination Detection
Large language models (LLMs) are increasingly deployed to assess, diagnose, and predict clinical symptoms and outcomes from textual data. However, prior work has shown that LLMs are susceptible to hal...
Traditional modulation recognition struggles with multi-signal coexistence and low signal-to-noise ratios. This paper proposes an integrated framework for wideband signal detection, recognition, and p...
As virtual reality technologies become integrated into sports broadcasting, they are reshaping how fans engage with live events. This study uses BERTopic, an unsupervised deep learning topic modeling ...
Autonomous laboratories typically rely on data-driven decision-making, occasionally with human-in-the-loop oversight to inject domain expertise1–6. Fully leveraging AI agents, however, requires tightl...
Judicial decision-making involves complex reasoning based on legal facts, statutory interpretation, and precedent analysis. Although transformer-based language models have improved the automated analy...
