Ant colony stream clustering: A fast density clustering algorithm for dynamic data streams

C Fahy, S Yang, M Gongora - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
A data stream is a continuously arriving sequence of data and clustering data streams
requires additional considerations to traditional clustering. A stream is potentially …

Multimodal particle swarm optimization for feature selection

XM Hu, SR Zhang, M Li, JD Deng - Applied Soft Computing, 2021 - Elsevier
The purpose of feature selection (FS) is to eliminate redundant and irrelevant features and
leave useful features for classification, which can not only reduce the cost of classification …

Automatic recognition of traffic signs based on visual inspection

S He, L Chen, S Zhang, Z Guo, P Sun, H Liu… - IEEE Access, 2021 - ieeexplore.ieee.org
The automatic recognition of traffic signs is essential to autonomous driving, assisted driving,
and driving safety. Currently, convolutional neural network (CNN) is the most popular deep …

Active inferants: An active inference framework for ant colony behavior

DA Friedman, A Tschantz, MJD Ramstead… - Frontiers in behavioral …, 2021 - frontiersin.org
In this paper, we introduce an active inference model of ant colony foraging behavior, and
implement the model in a series of in silico experiments. Active inference is a multiscale …

Research on path planning for mobile robot based on improved ant colony algorithm

S Li, G Zhao, W Yue - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Path planning of mobile robots is an important research content in mobile robot design. In
view of the characteristics of classic ant colony algorithm, such as long distance, low …

[Retracted] Using Artificial Intelligence for the Construction of University Physical Training and Teaching Systems

L Li, L Zhang, S Zhang - Journal of Healthcare Engineering, 2021 - Wiley Online Library
The combination of education and artificial intelligence is the developmental direction of
future educational systems. Through the participation of artificial intelligence, an educational …

A novel Chinese herbal medicine clustering algorithm via artificial bee colony optimization

N Han, S Qiao, G Yuan, P Huang, D Liu… - Artificial intelligence in …, 2019 - Elsevier
Traditional Chinese medicine (TCM) has become popular and been viewed as an effective
clinical treatment across the world. Accordingly, there is an ever-increasing interest in …

Target recognition of industrial robots using machine vision in 5G environment

Z **, L Liu, D Gong, L Li - Frontiers in Neurorobotics, 2021 - frontiersin.org
The purpose is to solve the problems of large positioning errors, low recognition speed, and
low object recognition accuracy in industrial robot detection in a 5G environment. The …

[Retracted] Digital Art Feature Association Mining Based on the Machine Learning Algorithm

Z Wu, Y Chen - Complexity, 2021 - Wiley Online Library
With the development of computer hardware and software, digital art is a new discipline. It
uses computers and digital technology as tools to perform artistic expression. It can be …

A clustering-based approach to enriching code foraging environment

N Niu, X **, Z Niu, JRC Cheng, L Li… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Developers often spend valuable time navigating and seeking relevant code in software
maintenance. Currently, there is a lack of theoretical foundations to guide tool design and …