The phrase "analysis and extraction of" is correct and usable in written English.
It can be used in contexts involving data processing, research, or any situation where information is being analyzed and extracted from a source.
Example: "The analysis and extraction of relevant data from the survey results will help us make informed decisions."
Alternatives: "evaluation and retrieval of" or "assessment and extraction of".
We introduce a data-analysis framework and performance metrics for evaluating and optimizing the interaction between activation tasks, experimental designs, and the methodological choices and tools for data acquisition, preprocessing, data analysis, and extraction of statistical parametric maps (SPMs).
In this study the author proposed novel approach of two-step damage detection and evaluation, which consisted of the non-contact vibration analysis and extraction of modal shapes of vibration and then an advanced signal processing algorithm, which is based on 2D signal decomposition using 2D wavelet transform (WT) with B-spline wavelets of fractional order.
These processes, the pair graph analysis and extraction of SSE equivalence, are referred to as "matching".
Analysis and extraction of plant matrices are important processes for the development, modernization, and quality control of herbal formulations.
Analysis and extraction of plant matrices are important processes for the development, modernization, and quality control of herbal formulations [ 13].
However, these tools lack usability and require the use of techniques that facilitate the automatic analysis and extraction of information from different sources.
However, even with highly improved technology, the microarray community continues to struggle with the analysis, interpretation, and extraction of biologically relevant knowledge from the large volume of expression measurements.
The analysis of results and extraction of information such as patient and device positioning depends on the quality of reporting of the studies.
The Confero Functional Enrichment Analysis module includes specialized tools to facilitate and accelerate enrichment/over-representation analysis and extraction and interpretation of results.
Analysis of heart sounds and extraction of its audio features would be important towards the development of automatic diagnosis systems.
Automatic analysis of heartbeat sounds and extraction of its audio features can assist physicians towards diagnosing diseases.
