陈健
个人信息Personal Information
教授
硕士生导师
教师英文名称:James Chan
教师拼音名称:Chen Jian
所在单位:电子电气与物理学院
学历:研究生(博士)毕业
办公地点:通信工程教研室; 福建省工业集成自动化行业技术开发基地
联系方式:jchen321@126.com; jianchen@fjut.edu.cn
学位:博士学位
在职信息:在职
主要任职:通信工程专业负责人
毕业院校:福州大学
学科:电子信息工程
通信工程
- .No-reference blurred image quality assessment method based on structure of structure features:Signal Processing: Image Communication,2023
- .自适应语义感知网络的盲图像质量评价:中国图象图形学报,2023
- .Dynamic Path Planning of Mobile Robot Based on Improved Sparrow Search Algorithm:BIOMIMETICS,2023
- .Research on Eye Detection and Fatigue Early Warning Technologies:Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications,2017
- .Passenger Hailing Safety PASW Modeler and Big Data Statistical Analysis Study:Advances in Intelligent Systems and Computing,2016
- .糖尿病性视网膜病变远程筛查系统通信子系统设计:生物医学工程学杂志,2013
- .Escalator passenger posture anomaly detection based on improved SSD model:International Conference on Information Technology in Medicine and Education,2023
- .LMSA-Net: A lightweight multi-scale aware network for retinal vessel segmentation:International Journal of Imaging Systems and Technology,2023
- .Domain Adversarial Interaction Network for Cross-Domain Fault Diagnosis:International Conference on Machine Learning for Cyber Security,2023
- .Self-supervised domain adaptation for cross-domain fault diagnosis:International Journal of Intelligent Systems,2022
- .Fall Detection Based on Person Detection and Multi-target Tracking:2021 11th International Conference on Information Technology in Medicine and Education (ITME),2021
- .An Improved Median Filter Method Based on Multi-directional Template Combined with Image Feature:Advances in Intelligent Data Analysis and Applications,2021
- .A no-reference blurred colourful image quality assessment method based on dual maximum local information:IET Signal Processing,2021
- .Harmonized neonatal brain MR image segmentation model for cross-site datasets:Biomedical Signal Processing and Control,2021
- .Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework:Computerized Medical Imaging and Graphics,2021