中文
- Quantitative analysis of heavy metals in soil via hierarchical deep neural networks with X-ray fluorescence spectroscopy
- Quantitative analysis of heavy metals in soil by X-ray fluorescence with PCA–ANOVA and support vector regression
- Baseline correction method based on improved adaptive iteratively reweighted penalized least squares for the x-ray fluorescence spectrum
- Use of the CEARXRF GUI-Based Monte Carlo–Library Least-Squares (MCLLS) Code for the Micro-Focused EDXRF analyzer
- Applied Radiation and Isotopes
- IMPLEMENTATION OF THE MONTE CARLO-LIBRARY LEASTSQUARES APPROACH TO ENERGY DISPERSIVE X-RAY FLUORESCENCE ANALYSIS
- X-ray fluorescence spectroscopic analysis of trace elements in soil with an adaboost back propagation neural network and multivariatepartial least squares regression
- On-stream mineral identification of tailing slurries of tungsten via NIR and XRF data fusion measurement techniques
- USE OF THE MONTE CARLO SIMULATION CODE CEARXRF FOR THE EDXRF INVERSE PROBLEM
- 基于算法优化的便携式Ｘ射线荧光光谱仪土壤重金属定量检测模型的建立
- 基于惩罚最小二乘算法的土壤重金属检测光谱基线校正
- 基于 XＲF 和 Vis － NIＲ光谱数据融合的土壤镉 含量定量分析法
- X-ray fluorescence analysis of trace elements in petroleum and soil by iterative discrete wavelet transform and Compton normalization
- Nuclear Inst. and Methods in Physics Research, A
- 基于XRF检测环节的ZFZ轴电动平台的控制应用
- X射线荧光光谱结合CARS 变量筛选选择方法 用于土壤中铅砷含量的测定
- Nuclear Inst. and Methods in Physics Research, A
- Nuclear Inst. and Methods in Physics Research, A
- 结合灵敏度降维和支持向量回归的土壤元素