Ant colony stream clustering: A fast density clustering algorithm for dynamic data streams
A data stream is a continuously arriving sequence of data and clustering data streams
requires additional considerations to traditional clustering. A stream is potentially …
requires additional considerations to traditional clustering. A stream is potentially …
Multimodal particle swarm optimization for feature selection
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 …
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 …
and driving safety. Currently, convolutional neural network (CNN) is the most popular deep …
Active inferants: An active inference framework for ant colony behavior
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 …
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 …
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 …
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 …
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 …
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 …
uses computers and digital technology as tools to perform artistic expression. It can be …
A clustering-based approach to enriching code foraging environment
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 …
maintenance. Currently, there is a lack of theoretical foundations to guide tool design and …