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Data was collected through questionnaire, interviews, documents analysis and field observations.
With the development of information technology, the subject of high-dimensional data becomes more and more popular in science and engineering applications such as image and video processing, web documents analysis and bioinformatics data processing.
For instance, currently, neural networks are employed in documents analysis and recognition (Rehman and Saba 2014; Neamah et al. 2014; Alkawaz et al. 2016), flood control (Joorabchi et al. 2007; Saba 2016), biometrics classification (Rehman et al. 2014; Saba et al. 2014), stock market, weather forecasting and rice yield forecast (Phetchanchai et al. 2010; Elsafi 2014).
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The data from the interviews were enriched by the policy document analysis, and sometimes with additional available documentation, such as speeches, statements, guidelines, and similar background documents.
But Venugodal Govindaraju, the associate director of the Center of Excellence in Document Analysis and Recognition, or Cedar, at the State University of New York at Buffalo, suggested that a lack of collaboration may have limited their efforts.
IMISketch method incorporates two aspects: document analysis and interactivity.
I use document analysis and conduct a critical examination of selected political documents.
The most researched and significant task in document analysis and recognition is handwriting recognition.
Significant research has been carried out on document analysis and recognition problems in different Indian scripts.
The methods applied comprised document analysis and interviews held in five member states.
Interviews, document analysis and personal observations provided the data for a qualitative, multi-case study analysis.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com