Background This review focuses on reviewing the recent publications of swarm intelligence
algorithms (particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee …

Image processing technology has always been a hot and difficult topic in the field of artificial
intelligence. With the rise and development of machine learning and deep learning …

Adaptive Neuro‐Fuzzy Inference System (ANFIS) blends advantages of both Artificial Neural
Networks (ANNs) and Fuzzy Logic (FL) in a single framework. It provides accelerated …

An increasing amount of malicious code causes harm on the internet by threatening user
privacy as one of the primary sources of network security vulnerabilities. The detection of …

For the problem of surface electromyography (sEMG) gesture recognition, considering the
fact that the traditional machine learning model is susceptible to the sEMG feature extraction …

Cloud manufacturing promotes the transformation of intelligence for the traditional
manufacturing mode. In a cloud manufacturing environment, the task scheduling plays an …

With the continuous development of sensor technology, the acquisition cost of RGB‐D
images is getting lower and lower, and gesture recognition based on depth images and Red …

Locating node technology, as the most fundamental component of wireless sensor networks
(WSNs) and internet of things (IoT), is a pivotal problem. Distance vector-hop technique (DV …

The increasing amount of solid waste is becoming a significant problem that needs to be
addressed urgently. The reliable and accurate classification method is a crucial step in …

Software effort estimation is a significant part of software development and project
management. The accuracy of effort estimation and scheduling results determines whether a …