科学研究
- Yuan Peisen, Jiang Lushuo, Cheng Zhanghao, Tan Yixi, Yang Yujia, He Cheng.Lightweight grading method for potato late blight severity based on enhanced YOLOv8-Unet3Plus network,FRONTIERS IN PLANT SCIENCE,2025,16:-(第一及共同通讯)
- Qi Chengfei, Feng Yanli, Wan Junling, Mao Xinying, Yuan Peisen.SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition,MATHEMATICS,2025,13(10):-(通讯作者)
- Wan Junling, Sun Yusen, Fan Jianguo, Zhou Yu, Ye Rui, Yuan Peisen.GCML: A Short-Term Load Forecasting Framework for Distributed User Groups Based on Clustering and Multi-Task Learning,MATHEMATICS,2025,13(23):-(通讯作者)
- Yuan Peisen, Chen Zixin, Jin Qijiang, Xu Yingchun, Xu Huanliang.Lightweight lotus phenotype recognition based on MobileNetV2-SE with reliable pseudo-labels,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2025,232:-(第一及通讯作者)
- Yuan Peisen,Xia Ye,Tian Yongchao,Xu Huanliang.TRiP: a transfer learning based rice disease phenotype recognition platform using SENet and microservices,FRONTIERS IN PLANT SCIENCE,2024,14(第一及通讯作者)
- 【专利】袁培森,董莎萌,何骋,谈钇汐，一种马铃薯晚疫病的病害叶片标本采集装置，ZL202420344061.9，2024
- 【软件著作权】袁培森,万俊岭，基于大模型的食品标签合规性检测与问答系统V1.0，2024SR1247787，2024
- 【软件著作权】袁培森,李登基,吴德航,汪家乐，基于深度学习的轻量级荷花识别系统V1.0，2024SR0982663，2024
- 【软件著作权】袁培森,夏烨，基于生成式预训练模型的马铃薯晚疫病病害预测系统V1.0，2024SR0982173，2024
- 【专利】袁培森,薛铭家，一种基于残差网络和迁移学习的小样本鱼识别方法及系统，ZL202010691155.X，2024
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