Research on clustering algorithm based 6G typical usage scenarios by Ning JIN, Qingyang WANG

“…Compared with the three classic 5G usage scenarios, the content and types of 6G typical usage scenarios will be more abundant and diverse.How to refine 6G usage scenarios objectively and efficiently has become a major challenge.Based on this, the clustering algorithm was used to study the 6G usage scenarios.Firstly, the 6G service and performance indicators were considered.Then, the demand values of 6G service were collected and the indicators were scored.Finally, the sample data were analyzed by different clustering algorithms.According to the clustering results, eight typical usage scenarios of 6G were proposed, which could provide some reference for 6G research in the industry.…”
Get full text

Research on path planning of robotic arms based on DAPF-RRT algorithm. by Zhenggang Wang, Junyang Tang, Fangxu Yi, Xiangrui Ren, Kunxiang Wang

Get full text

Research Progress of Machine Learning Algorithms Applied in FSO Communication Systems by LIU Hainan, SHAO Yufeng, WANG Anrong, ZHU Yaodong, YANG Linjie, CHEN Chao, LI Wenchen, HU Wenguang

“…We compare and analyze the application characteristics of different typical machine learning algorithms, and discuss the future development trends of applying machine learning algorithms in FSO communication systems.…”
Get full text

Research on algorithms of data encryption scheme that supports homomorphic arithmetical operations by ANGPan Y, UIXiao-lin G, AOJing Y, INJian-cai L, IANFeng T, HANGXue-jun Z

Get full text

Research on the Multi-Armed Bandit Algorithm in Path Planning for Autonomous Vehicles by Li Jingyu

“…Further in-depth research and exploration are crucial for fully utilizing the advantages of MAB algorithm in path planning and promoting the sustainable development and enhancement of autonomous driving technology.…”
Get full text

Research on UAV UWB/IMU Tight Integrated Navigation and Positioning Algorithm by HUANG Junbo, LUO Zhexuan, LI Junpeng, JIN Tao, YU Zhilong

Get full text

Research on lightweight weed recognition algorithm based on improved YOLOv8 by Zhang Chao, Liu Bin, Li Kun

Get full text

The Research on Web-Based Testing Environment Using Simulated Annealing Algorithm by Peng Lu, Xiao Cong, Dongdai Zhou

Get full text

Research on Fault Extraction Method of CYCBD Based on Seagull Optimization Algorithm by Qianqian Zhang, Haochi Pan, Qiuxia Fan, Fujing Xu, Yulong Wu

Get full text

Research on the Improved ICP Algorithm for LiDAR Point Cloud Registration by Honglei Yuan, Guangyun Li, Li Wang, Xiangfei Li

“…Over three decades of research has been undertaken on point cloud registration algorithms, resulting in mature theoretical frameworks and methodologies. …”
Get full text

Research on Adaptive Model Predictive Control Algorithm for Remotely Operated Vehicle by ZHU Yinggu, ZHANG Dinghua, TU Shaoping, SONG Junhui

Get full text

Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds by Ji Haoyu, Meng Weihua, Zhang Xinchao, Duan Jingfei, Zhang Meng

Get full text

Research on coal-rock boundary identification based on the morphological sobel algorithm by Guohui Chen, Yilai Wang, Shengwei Song, Wenhua Yang

Get full text

Research on Short-term Load Forecasting Algorithm Based on VMD and TCN by WANG Qing, CHEN Zhiru, LI Guimin, JING Zhen, ZHANG Zhi, WANG Pingxin, CUI Qi

Get full text

Research on floating object classification algorithm based on convolutional neural network by Jikai Yang, Zihan Li, Ziyan Gu, Wei Li

Get full text

Research on Path Planning Multiple Mobile Robots Based on the LAPGWO Algorithm by Wan Xu, Dongting Liu, Ao Nie, Junqi Wang, Shijie Liu

Get full text

Research on Fire Smoke Detection Algorithm Based on Improved YOLOv8 by Tianxin Zhang, Fuwei Wang, Weimin Wang, Qihao Zhao, Weijun Ning, Haodong Wu

Get full text

Research on Mobile Robot Path Planning Based on MSIAR-GWO Algorithm by Danfeng Chen, Junlang Liu, Tengyun Li, Jun He, Yong Chen, Wenbo Zhu

“…In order to verify the effectiveness of the MSIAR-GWO algorithm, it is compared with a variety of commonly used swarm intelligence optimization algorithms in benchmark test functions and raster maps of different complexities in comparison experiments, and the results show that the MSIAR-GWO shows excellent stability, higher solution accuracy, and faster convergence speed in the majority of the benchmark-test-function solving. …”
Get full text

A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“…While heart attacks and strokes remain among the leading causes of mortality worldwide, the use of machine learning for predicting heart disease could potentially prevent premature deaths. A comparative study evaluated the performance of five well-known two-class classification algorithms: two-class boosted decision trees, two-class decision forests, two-class locally deep SVMs, two-class neural networks, and two-class logistic regression. …”
Get full text

Comparative Analysis of Performance Metrics for Machine Learning Classifiers with a Focus on Alzheimer's Disease Data by Sivakani Rajayyan, Syed Masood Mohamed Mustafa

“…To compare the performance of the proposed model, the OASIS dataset is applied to the model with the same algorithms and the accuracy of the algorithms is 98%, 99%, 99% and 100% respectively. …”
Get full text