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 ...

Curious about how to secure renewable-dominant power systems? A team from Shandong University developed a method combining GBDT and FP-Growth algorithms. It quickly assesses cascading failure risks, ...

of the cycled system, enabling precise identification of systems operating in multirate sensing environments. A research team at Kumamoto University (Japan) has unveiled a new mathematical framework ...

Automated identification in materials handling must operate across variable package orientation, materials and flow ...