To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Complex networks are networks that feature patterns of connection between their elements that are neither purely regular nor purely random. Most real-world networks, such as transportation, social or ...

Abstract: Linguistic fuzzy information evolution is crucial in understanding information exchange among agents. However, different agent weights may yield varying convergence results in the classic ...

Abstract: Traditional network security architectures that rely on perimeter-based defences often fail to prevent lateral movement once an attacker gains entry into a network. Zero Trust Architecture ...

The loss of major health surveys once backed by the United States Agency for International Development and proposed cuts to environmental programs threaten the tracking of sustainable development.