IEEE

A Particle Swarm Optimization Event-Triggered Approach to Adaptive Sliding Mode Control of Markov Jump Networked Systems

Abstract: This work focuses on adaptive sliding mode control for networked Markov jump systems using a dynamic event-triggered strategy. Unlike previous studies, this mechanism employs a particle ...
C&EN

Quantifying Aviation-Related Contributions to Ambient Ultrafine Particle Number Concentrations Using Interpretable Machine Learning

Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States ...
IEEE

Battery Charging Optimization Using Adaptive Multistage Constant Current–Constant Voltage Method With Multiagent Particle Swarm Optimization

Abstract: Constant current–constant voltage (CCCV) is the commonly used charging method today. Although this method can charge a battery quickly, it neglects the battery’s safety. To combat this ...
SciELO

Optimization of antibiotic use in the intensive care unit: how we do it

Antibiotic stewardship program (ASP) implementation in the intensive care unit (ICU) remains a challenge. Severe infections and the increasing prevalence of multidrug-resistant pathogens indicate the ...