Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...

Abstract: For supporting ever-growing demands on low-latency services in Machine-to-Machine (M2M) communications, it is crucial to optimize the delay performance of random access. To that end, much ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

BACKGROUND: Recent randomized trials have demonstrated that for patients with severe tricuspid regurgitation (TR), transcatheter tricuspid valve interventions (TTVI) improve patients’ symptoms, ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Public health recommendations suggest individuals can resume normal activities 5 days after symptom cessation. However, our study finds that full recovery can take longer, indicating that delayed ...

Premenopausal women presenting with acute coronary syndrome (ACS) are a unique and often underrecognized patient population. Although they are traditionally considered at lower cardiovascular risk ...

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 ...