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徐焕良
Professor
Supervisor of Doctorate Candidates
School/Department: College of Artificial Intelligence
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral degree
Professional Title:
Professor
Alma Mater:
南京航空航天大学机电学院博士毕业
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【Copyrights】伍学惠,徐焕良,罗志伟,基于深度学习的矮脚黄青菜生长周期识别系统V1.0,2023SR0030466,2023
【Copyrights】袁培森,徐书凝,任守纲,徐焕良,在线自动化学习植物表型处理与分析系统V1.0,2022SR0956901,2022
【Copyrights】袁培森,崔为体,徐书凝,徐焕良,在线多任务学习植物表型处理与分析系统V1.0,2022SR0957217,2022
【Patent】李延斌,任守纲,唐明,黄玉鑫,徐焕良,基于掩码变量最大概率密度函数分布的侧信道测试分析方法,ZL202011352153.4,2022
【Patent】李延斌,任守纲,黄玉鑫,唐明,徐焕良,一种针对低熵掩码方案的侧信道泄露检测方法,ZL202011342764.0,2022
【Patent】任守纲,万升(学),顾兴健,王浩云,徐焕良,基于鉴别和鲁棒多特征提取的高光谱图像分类方法,ZL201810616815.0,2021
【Patent】王浩云,徐焕良,马仕航(学),基于几何模型的绿萝叶片外部表型参数的三维估测方法,ZL202010370531.5,2021
【Patent】袁培森,申成吉(学),任守纲,顾兴健,车建华,徐焕良,基于迁移学习与双线性InceptionResNetV2的细粒度菌类表型识别方法,ZL201910547744.8,2021
【Patent】任守纲,万升(学),顾兴健,徐焕良,李庆铁(外),一种基于局部低秩表示的半监督高光谱图像分类方法,ZL201711067416.5,2020
【Patent】任守纲,刘鑫(学),顾兴健,徐焕良,基于滚动BP神经网络的温室小气候中长期预测方法,ZL201710426571.5,2020
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