Abstract: This article is concerned with the output feedback security tracking control of a class of disturbed second-order nonlinear systems against denial-of-service (DoS) attacks. Novel radial ...

Discusses 3-Year Topline Results From EMBARK Phase 3 Trial of ELEVIDYS in Duchenne Muscular Dystrophy January 26, ...

Source: Pastoralists as inspiration in an age of uncertainty | zimbabweland You only have to look at the news each day to realise that we are living in an age of uncertainty. Whether it’s imposing ...

Artificial intelligence (AI) models are being applied to almost everything, from helping people write emails to ...

Abstract: Robust output tracking of uncertain systems requires nonlinear controllers due to approximate parameters and exogenous disturbances. However, the design of nonlinear control is often more ...

By Priyanjana Pramanik, MSc. A large European study shows that clubs systematically discount players with higher predicted ...

Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.

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 ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...

Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...