Association rule mining (ARM) is one of the core techniques of data mining to discover
potentially valuable association relationships from mixed datasets. In the current research …

In recent years, artificial intelligence has become increasingly popular and is more often
used by scientists and entrepreneurs. The rapid development of electronics and computer …

In the process of image shooting, due to the influence of angle, distance, complex scenes,
illumination intensity, and other factors, small targets and occluded targets will inevitably …

The Rafflesia Optimization Algorithm (ROA) is a new swarm intelligence optimization
algorithm inspired by Rafflesia's biological laws. It has the advantages of high efficiency and …

A probabilistic load forecast that is accurate and reliable is crucial to not only the efficient
operation of power systems but also to the efficient use of energy resources. In order to …

Abstract In the conventional Proportional Integral Derivation (PID) controller, the parameters
are often adjusted according to the formulas and actual application. However, this empirical …

Ensuring food quality and safety is essential after ensuring the quantity of food. Therefore,
an improved adaptive particle swarm optimization algorithm (IAPSO) for optimizing the long …

In this paper, a critic learning structure based on the novel utility function is developed to
solve the optimal tracking control problem with the discount factor of affine nonlinear …

Efficient emergency material dispatch, amid the aftermath of an emergency event, can help
control the spread of the disaster and reduce disaster losses. Herewith, we propose a model …

This paper introduces a novel meta-heuristic optimization algorithm named Clustering
Wavelet Opposition-based Marine Predators Algorithm (CWOMPA) to address some …