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使用循环生成对抗网络进行改进的梨病分类方法

Khulud Alshammari1, Reem Alshammari2, Alanoud Alshammari3

  • 1Faculty of Computers & Information Technology, University of Tabuk, Tabuk, Saudi Arabia. 421009996@stu.ut.edu.sa.

Scientific reports
|March 21, 2024
PubMed
概括

使用循环生成对抗网络 (CycleGAN) 改进了植物疾病检测. 这种机器学习方法提高了分类准确性,这对农业和粮食安全至关重要.

关键词:
循环GANAN是一个循环.深度视觉分类方法深度视觉分类方法.对于DiaMOS数据集来说,这是一个很大的问题.植物病的分类 植物病的分类

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Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a survival tree begins...