Base Materials and Devices Department, ENEA - National Agency for New Technologies, Energy and Sustainable Development, Portici (NA), Italy;
Base Materials and Devices Department, ENEA - National Agency for New Technologies, Energy and Sustainable Development, Portici (NA), Italy;
Institute of Applied Mathematics and Information Technology, Genova, Italy;
Information Engineering Department, Universita di Cassino, Cassino (FR), Italy;
Base Materials and Devices Department, ENEA - National Agency for New Technologies, Energy and Sustainable Development, Portici (NA), Italy;
机译:电子鼻应用人工嗅觉的新型半监督学习方法
机译:人工嗅觉的半监督学习技术:分类问题和漂移对抗的新方法
机译:使用数据增强和度量学习的滚动轴承智能故障诊断多级半监控学习方法
机译:带有硬件片上学习神经网络的人工嗅觉系统
机译:具有新型半监督学习方法的可靠模式识别系统。
机译:基于半监督的基于学习的学习诊断分类方法使用人工神经网络
机译:电子鼻应用人工嗅觉的新型半监督学习方法