A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Abstract: Accurate radio environment maps (REMs) can enhance the performance of wireless networks and optimize spectrum utilization efficiency. However, in rugged terrain environments, radio ...

Abstract: Precise malware identification is essential for enhancing cybersecurity frameworks against advancing threats. This study introduces an enhanced malware detection framework utilizing machine ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

Post-2020, highly pathogenic avian influenza H5 circulation is characterised by spatially expanded ecological suitability, changes in key environmental predictors, and a wider range of avian species ...

On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

State Space Models (SSMs) have emerged as efficient alternatives to Transformers, mitigating their quadratic computational cost. However, the application of Parameter-Efficient Fine-Tuning (PEFT) ...