在之前已经学习了异常检测算法One Class SVM和 isolation Forest算法,博文如下: Python机器学习笔记:异常点检测算法--One2.sklearn库中的标准数据集与基本功能 sklearn库中的标准数据集与基本功能 下面我们详细介绍几个有代表性的数据集: 当然同学们也可以用sklearn机器学习函数来挖掘这些数据,看
BPA had the least significant effect on this parameter. Actinobacteria and Proteobacteria species were found to dominate in uncontaminated soil and in that exposed to BPA. BPF and BPS reduced the abundance of Proteobacteria and Acidobacteria and increased that of Actinobacteria. Co...
a value of the tested parameter for control soil. P 0 : a value of the tested parameter for contaminated soil. D 0 : C 0 − P 0. The RS index takes values from − 1 to + 1. RS with a value of 1 means full resistance; 0—a 100% decrease, or a 100% increase of th...
13. Oil contaminated soil samples representing Indian oil refineries (I) were collected from Noonmati Oil Refinery in Guwahati and Barhola oilfields, both in Assam, India. Soil samples were collected in both sites from the surface (0–10 cm) and beneath...
The composition and abundance of rhizospheric taxa were influenced by the host plant species and soil mercury contamination (ANOSIN p < 0.05); the latter parameter contributed more effectively to data dispersion (ANOSIM p < 0.01) (Fig. 4 and Table S3). In the rhizosphere, the ...
in wheat. Using a DL technique, a CNN efficiently predicted wheat infection using ordinary RGB camera images [59]. Using a low-complexity design architecture with hyperparameter optimization, the models attained a precision of 97% in identifying FHB in seeds and 99% accuracy (Figure 5). ...
Moreover, while the MLP and ensemble models performed well, further refinement of model parameters through additional hyperparameter tuning and feature engineering could potentially enhance the classification accuracy. In conclusion, the integration of E-nose technology with machine learning offers a rapid...