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机译:基于决策树的分类策略比较,可从原始和过滤的植物电响应中检测外部化学刺激
School of Electronics and Computer Science. University of Southampton, Southampton SOU IBJ, UK;
School of Electronics and Computer Science. University of Southampton, Southampton SOU IBJ, UK;
School of Electronics and Computer Science. University of Southampton, Southampton SOU IBJ, UK;
Department of Agri-Food Production and Environmental Science, University of Florence, Florence, Italy;
Department of Agri-Food Production and Environmental Science, University of Florence, Florence, Italy;
Department of Agri-Food Production and Environmental Science, University of Florence, Florence, Italy;
Department of Agri-Food Production and Environmental Science, University of Florence, Florence, Italy;
DlAG, Sapienza University of Rome, via Ariosto 25, 00185 Rome. Italy;
Decision tree; Multiclass classification; Discriminant analysis; Mahalanobis distance classifier; Statistical features; Plant electrical signal processing; Time series analysis;
机译:探索利用植物电反应的统计特征对外部刺激进行分类的策略
机译:利用曲线拟合系数作为特征的植物电信号响应刺激分类的化学传感
机译:基于像素的决策树和基于对象的支持向量机方法在航空影像和机载激光雷达数据土地覆盖分类中的比较
机译:基于植物对外界刺激的反应而开发生物机器
机译:开发分类决策树模型以使用计算有效的验证和超参数调整方法检测DDOS攻击
机译:利用植物电响应的统计特征探索对外部刺激进行分类的策略
机译:基于决策树的分类策略比较,可从原始和过滤的植物电响应中检测外部化学刺激