Following a brief description of the main characteristics of EDS classes and a review of the proposed guiding principles for the curricular development for such classes, implementation of two of these principles is discussed. First, the implementation of 'decomposition' is presented with regard to ...
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Selecting good markers that clearly distinguish between object classes increases the predictive power of the machine learning model. So, this process aims to reduce the raw data into standardized, distinctive, and machine understandable markers that the learning algorithm can use to solve the main ...
A computer-controlled (CC) routine, on the other hand, can allow similar analysis at a much faster rate, increasing total particle counts and reproducibility of results. This paper describes a CCSEM-EDX routine specifically developed for analysis of respirable dust samples from coal mines. The ...
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SER is represented by the function \( SER :C\times Q \times E \times G \rightarrow S\), where C is the set of CORE classes, Q is the set of QUALIS classes, E is the set of ERA classes, G is the set of GGS classes, and S is the set of SER classes. The range of \( ...