This paper proposes a novel swarm intelligence bioinspired optimization algorithm, called
the Dandelion Optimizer (DO), for solving continuous optimization problems. DO simulates …

The classification problems with imbalanced datasets widely exist in real word. An Extreme
Learning Machine is found unsuitable for imbalanced classification problems. This work …

This work investigates an unmanned aerial vehicle (UAV) assisted IoT system, where a UAV
flies to each foothold to collect data from IoT devices, and then return to its start point. For …

This study focuses on the aging evaluation of Insulated gate bipolar transistor (IGBT)
modules to ensure their stability during operation. An aging degree evaluation model is …

Partial shading (PS) is a prevalent phenomenon that often affects photovoltaic (PV)
installations, leads to the appearance of numerous peaks in the power-voltage …

A dandelion algorithm (DA) is a recently developed intelligent optimization algorithm for
function optimization problems. Many of its parameters need to be set by experience in DA …

In recent years, the role of analytical chemistry has undergone a gradual transformation,
evolving from a mere participant to a pivotal decision‐maker in process optimisation. This …

Due to the rapid advancement in the use of photovoltaic (PV) energy systems, it has become
critical to look for ways to improve the energy generated by them. The extracted power from …

The risk of fraudulent activity has significantly increased with the rise in digital payments. To
resolve this issue there is a need for reliable real-time fraud detection technologies. This …

In an intelligent transportation system, accurate traffic flow prediction can provide significant
help for travel planning. Even though some methods are proposed to do so, they focus on …