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This family of methods is divided into two groups: one based on experimentally determined descriptors and another based solely on molecular structure.
The discussion on this class of methods is divided into two categories, namely, pixel-based and bitstream-based features or artifacts, and statistics of transform coefficients.
The overall process of classifying unknown files as either benign or malicious using ML methods is divided into two subsequent phases: training and testing.
Conclusion: Opinion regarding the relative roles of inpatient or outpatient, and blind or hysteroscopic methods, is divided and a randomised trial comparing the efficacy and safety of these methods is practicable.
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The electroanalytical methods are divided into categories according to the electric parameters that are measured.
The research methods are divided into two phases.
Community detection methods are divided into two subgroups.
Efficiency methods are divided into: (i) dimensionality reduction-based methods and (ii) clustering-based algorithms.
The proposed robust localization methods are divided into the iteration method and closed-form algorithm.
Depending on the nature of the applied field, the FFF methods are divided in various submethods.
Force measurement methods are divided into two categories: direct comparison and indirect comparison.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com