Showing posts with label app. Show all posts
Showing posts with label app. Show all posts

Tuesday, September 22, 2026

Digital Image Analysis using R-Project-based EBImage, randomForest, DT, and bslib - A Web app (R-Project-Shiny-based)

This digital image analysis has been developed using R-Project (4.6.1), RStudio 2026.08.1 Build 195. It is made using packages, including shiny, EBImage, randomForest, DT, and bslib. NOTE: Try to remain SLOW with the change in metrics using sliders as it may take large time to process the image. If it takes long, allow it to settle and start working after sometime. KEEP THE IMAGE BELOW 500 x 500 pixels.
Powered by Allaire, J., Sievert, C., Dervieux, C., Xie, Y., McPherson, J., Allen, A., Wickham, H., Atkins, A., & Hyndman, R. (2024). bslib: Custom Bootstrap 'Sass' Themes for 'shiny' and 'rmarkdown' (R package version 0.8.0) [Computer software]. https://CRAN.R-project.org/package=bslib Breiman, L., Cutler, A., Liaw, A., & Wiener, M. (2022). randomForest: Breiman and Cutler's Random Forests for Classification and Regression (R package version 4.7-1.1) [Computer software]. https://CRAN.R-project.org/package=randomForest Chang, W., Cheng, J., Allaire, J., Sievert, C., Schloerke, B., Xie, Y., Allen, A., McPherson, J., Dipert, A., & Borges, B. (2024). shiny: Web Application Framework for R (R package version 1.9.1) [Computer software]. https://CRAN.R-project.org/package=shiny Pau, G., Fuchs, F., Sklyar, O., Boutros, M., & Huber, W. (2010). EBImage—an R package for image processing with applications to cellular phenotypes. Bioinformatics, 26(7), 979–981. https://doi.org/10.1093/bioinformatics/btq046 Xie, Y., Cheng, J., & Tan, X. (2024). DT: A Wrapper of the JavaScript Library 'DataTables' (R package version 0.33) [Computer software]. https://CRAN.R-project.org/package=DT Terms of Use and Disclaimer: This tool is for educational purposes only. The author assumes no liability for inaccuracies or decisions made based on this output. No data is stored on our servers. The Image Analysis Toolkit provided on this site is an open-source tool intended for exploratory image analysis. Users are encouraged to verify all results with primary software and experts before publication. The owner of JeePakistan.blogspot.com is not responsible for any research outcomes derived from this tool. ===========================
  • NOTE: Uploaded on 22/09/2026
  • Thursday, May 6, 2021

    One of my most favorite Arabic-English dictionary app - "Dict Box" (Urdu)

    This video, in Urdu, relates to one of the most useful Arabic-English dictionary apps to learn Arabic. Hope, you will like and share with others.

    App on playstore: https://play.google.com/store/apps/details?id=com.grandsons.dictsharp&hl=en&gl=US

    Subscribe to the channel of Official SayPeople by going to the link: https://www.youtube.com/c/officialsaypeople?sub_confirmation=1

    Support the work on Patreon: https://www.patreon.com/uzparacha . It could be of significant help and inspiration to move forward and create more content, especially useful and productive content.

    Usman Zafar Paracha also likes writing. The app “Quotes by Usman Zafar Paracha” contains the quotations of Usman Zafar Paracha, and it can be downloaded here: https://play.google.com/store/apps/details?id=com.saypeople.usmanquotes

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