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A complete algorithm is presented covering the steps of data acquisition and preprocessing to post-simulation whereby candidate lands for incoming solar farms projects are identified.
However, we seek to go beyond previous work by scrutinizing in more detail the BDA steps of data acquisition, preprocessing, analysis, and interpretation in order to identify the epistemological challenges associated with BDA.
Hence, it is possible to see the steps of data acquisition and data validation follow a sequential order, where validation is performed as soon as all the data are acquired.
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Normalization is the subsequent step of data acquisition.
By introducing a modified multistep version of the stepped sine excitation, the accuracy of data acquisition process is improved without compromising the measurement time.
Exploratory data analysis (EDA) is a fundamental step in the data analysis cycle (the cycle consists of data acquisition, data preprocessing, exploratory data analysis, and classification).
As shown in the Figure 2, processing and analysis of omics data involves a number of steps, from data acquisition and transformation, quality control (QC) (e.g. outlier detection, batch effect correction, etc)., preprocessing and normalization, and statistical analysis.
Modern imaging requires a series of steps, including data acquisition, data reconstruction, and processing, data analysis and output, and data interpretation.
Development of the classification scheme consisted of three steps: data acquisition, content analysis, and prioritization.
It consists of three main steps: (1) data acquisition using micro-CT, (2) segmenting an initial model and (3) simplifying the model.
The results of our analysis are summarized in the following major steps: (1) data acquisition and merging of multiple microarray datasets to identify DEGs in tumor samples, (2) analysis of the gene coexpression network to identify cancer stage-associated modules, and (3) identification of cancer hub genes and development of a key hub gene-based classifier model to distinguish OSCC stages.
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