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 …

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 …

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 …

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 …

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 …

Fire hawk Optimizer (FHO) is a relatively new intake in the family of evolutionary algorithms
for a distinct type of optimization problem. Initialization of the population plays a significant …

The significance of sentiment analysis has increased in modern times due to the extensive
use of social media platforms as a medium for individuals to express their opinions. Twitter is …

Purpose The conventional design method relies on a priori knowledge, which limits the
rapid and efficient development of electronic packaging structures. The purpose of this study …

This paper presents a trajectory-aided particle swarm optimization (PSO) for tracking the end-
effector in the micro-manipulation system. When the micro-environment suffers from …

In this study, a deep learning and particle swarm optimization-based technique for predicting
traffic flow is proposed. First, the time-series features of traffic flow are captured using the …