Credit card fraud is becoming a serious and growing problem as a result of the emergence
of innovative technologies and communication methods, such as contactless payment. In …

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 …

Software-defined vehicular network (SDVN) is a promising networking paradigm that can
provide intelligent information exchanges by separating network management and data …

With the increasing demand for electrical energy and the challenges related to its
production, along with the need to be environmentally friendly to achieve sustainability for …

This paper introduces a new metaheuristic algorithm called Migration Algorithm (MA), which
is helpful in solving optimization problems. The fundamental inspiration of MA is the process …

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

Feature selection (FS) is an important pre-processing step in data mining and pattern
recognition. It can effectively compress the dimensionality of the feature space to reduce …

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 …