Sentence examples for artefacts removal from inspiring English sources

The phrase "artefacts removal" is correct and usable in written English.
It can be used in contexts related to the process of taking away or eliminating artefacts, often in fields like archaeology, data analysis, or software development.
Example: "The artefacts removal process is crucial for ensuring the integrity of the data set before analysis."
Alternatives: "removal of artefacts" or "artefact elimination".

Exact(1)

We also present an application of these methods in improvement of colour channel misalignment artefacts removal.

Similar(59)

Table 3 Performance of the colour channel misalignment artefact removal algorithm in images before and after removing specular highlights.

An artefact removal scheme from channel×time×frequency EEG tensors using a multiway analysis technique, namely, canonical polyadic decomposition (CPD), was presented in [11].

Based on these findings, a prototype EEG-based delirium monitor was built, with real-time artefact removal and an improved detection algorithm.

Due to complex intrinsic shale properties, advanced image processing such as artefact removal and multiband thresholding is necessary (Iassonov et al. 2009).

However, it is to be noted that, often, archivists and scholars do prefer a restoration intervention limited to the artefact removal, which does not alter the original, aged appearance of the document itself.

EEGs are automatically analysed after artefact removal using waveform analyses, as well as analysis of relative delta power, and compared with the classification of the delirium experts (gold standard), to obtain sensitivity, specificity and the predictive values.

It provides a general framework for artefact removal and analysis of EEG-data.

After artefact removal, data were transformed to the average reference [41].

I am thankful to Prof. Hellmuth Petsche for the EEG experiments, to Harald Stögbauer for the artefact removal software, and to the reviewer for excellent comments.

However, methods related to single-regression, such as seed-based correlation, will not see this advantage, nor will model-based analysis in a task-FMRI experiment (although artefact removal would probably be improved in both scenarios when using lower-TR data).

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