The phrase "advanced analysis techniques" is correct and usable in written English.
You can use it when discussing sophisticated methods or approaches used for analyzing data or information in various fields, such as science, finance, or technology.
Example: "The research team employed advanced analysis techniques to uncover hidden patterns in the data set."
Alternatives: "sophisticated analytical methods" or "complex analysis strategies."
For instance, the small amount of data in each file makes it difficult for a censor to notice anything odd unless all traffic on the network is subjected to advanced analysis techniques.
The effect of small compositional differences, specifically small shifts in lignin composition and their impact on the bio-oil composition, could not be identified using principal component analysis (PCA), necessitating the use of more advanced analysis techniques.
The electrochemical reduction of acetophenone has been reinvestigated because of uncertainty, not only in the quantitative data given in the literature, but also in the knowledge of well known synthetic routes to both pure diastereometric pinacols and availability of advanced analysis techniques.
But in order to benefit from this data, machine learning heuristics and other advanced analysis techniques will need to be applied so that action can be taken in real time to modify these applications.
Using cluster analysis and other advanced analysis techniques not only increase performance by creating content that works but also defends marketer's decisions to peers and clients with concrete data.
Such personnel and accompanying infrastructure, however, are needed for advanced analysis techniques, including but not limited to machine learning, artificial intelligence and sophisticated data engineering.
Thus, the proposed advanced analysis technique is recommended for the design of both types of planar steel frames.
The effects of even the most advanced data analysis techniques are not huge.
Using advanced image analysis techniques, routines were developed to accurately segment the GDL fibers (including binder/PTFE) and the MPL.
On page 304, Nicholas Turk-Browne and colleagues discuss advanced fMRI analysis techniques that uncover unique insight into neural computations in humans, enable shared inferences about neural processes across multiple humans and describe a computing infrastructure for performing these cutting-edge analyses.
The assessment of the current process is undertaken by employing advanced spatial analysis techniques, including multiple regression analysis (MRA) and geographically weighted regression (GWR) within a GIS.
