The phrase "analysis of these methods" is correct and usable in written English.
It can be used when discussing the examination or evaluation of specific techniques or approaches in a particular context.
Example: "The analysis of these methods reveals significant differences in their effectiveness."
Alternatives: "examination of these techniques" or "evaluation of these approaches".
Optimization and comparative analysis of these methods are carried out discussing their pros and cons.
Theoretical analysis of these methods as well as numerical results they produce when applied to a model transport problem will be given.
This paper presents a comprehensive survey of existing space-time representations of people based on 3D skeletal data, and provides an informative categorization and analysis of these methods from the perspectives, including information modality, representation encoding, structure and transition, and feature engineering.
Result analysis of these methods revealed that the investigated nanofluids are reversibly stable for a long time.
In a series of papers, Kenney et al. [9,10] performed a detailed comparative analysis of these methods.
The analysis of these methods in non stationary and non Gaussian type of noise has not been studied in this work.
However, from the analysis of all these methods, it is observed that the combination of mutual information and information gain ratio values provide a better method for feature selection since it can be used to perform both attribute selection and tuple reduction.
Although HPLC, TLC, and more recently, ELISA are commonly used for AFM1 analysis, most of these methods involve expensive instruments and time-consuming [32].
formic acid in 45 min, a hold of 5 min at 27% acetonitrile, followed by a step to 50% acetonitrile, a hold of 5 min and then a step to 80% (flow rate 250 nl/min).A 'top ten' approach was used to identify APPL1 in muscle homogenate, whereas a 'targeted' approach was used for peak area analysis; both of these methods have been described and validated previously by our lab [ 28, 31].
We emphasise that although our analysis of these new methods has been given for unimolecular reactions, the simulations of the nonlinear Schlögl reaction and the MAPK cascade indicate that these methods have a more general applicability and we will consider nonlinear analysis via Taylor series expansions in future work.
We also provide an empirical clustering quality and runtime analysis of these learning methods on varied high-dimensional datasets.
