Sentence examples for any type of datasets from inspiring English sources

Suggestions(1)

The phrase "any type of datasets" is correct and usable in written English.
It can be used when referring to various kinds of data collections in a general context, especially in discussions about data analysis or research.
Example: "The software is designed to handle any type of datasets, making it versatile for different research needs."
Alternatives: "any kind of datasets" or "any variety of datasets".

Exact(1)

Finally, since EUCALYPT can be applied to any type of datasets compatible with the model, we also tested it on a genes-species dataset from [ 17] that had previously been used by [ 20].

Similar(59)

Such models can be generated from any type of large-scale datasets, and are usually completed with building information that can be derived from several interaction databases.

Although the algorithms can deal with any type of time-sequence dataset, the following explanation involves a single acoustic dataset for ease of understanding. Figure 1 shows the flowchart for music boundary detection.

The framework supports almost any type of biomedical data, including DICOM datasets, motion-capture recordings, or data from computer simulations (e.g. finite element modeling).

The approach described can be applied to any group of datasets and for any type of analysis.

According to Google, the number and type of datasets included in the search engine will continue to grow as more dataset providers adopt the company's metadata guidelines.

The two lower Swarm satellites flying side-by-side provide this type of datasets.

This type of datasets create many technical challenges impacting the accuracy of the diagnostic prediction.

Third type of datasets (real data) was same as second except that real class labels were preserved.

The combination of multiple datasets, as illustrated here, can further improve the functional inferences that typically are generated via a single type of datasets.

The pipeline of iBFE consists of three steps: i) extract features from individual type of datasets; ii) concatenate the extracted features; iii) extract new features from concatenated features.

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