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  2. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    deskUNPDF: PDF converter to convert PDFs to Word (.doc, docx), Excel (.xls), (.csv), (.txt), more; GSview: File:Convert menu item converts any sequence of PDF pages to a sequence of images in many formats from bit to tiffpack with resolutions from 72 to 204 × 98 (open source software) Google Chrome: convert HTML to PDF using Print > Save as PDF.

  3. Smallpdf.com - Wikipedia

    en.wikipedia.org/wiki/Smallpdf.com

    Smallpdf is a Swiss online web-based PDF software, founded in 2013. [2] It offers free version with limited features to compress, convert and edit PDF documents. [ 3 ] And its paid version offers advanced features like OCR, compress, and more [ 4 ] .

  4. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...

  5. Enlarge or reduce the font size on your web browser - AOL Help

    help.aol.com/articles/how-do-i-enlarge-or-reduce...

    Enlarge or reduce the font size on your web browser Make web pages easy to read for you! With simple keyboard shortcuts, you can zoom in or out to make text larger or smaller.

  6. Is Sildenafil Safe for This Common Male Problem? - AOL

    www.aol.com/sildenafil-safe-common-male-problem...

    To reduce your risk of side effects and interactions, make sure you adhere to the following tips for how to take Viagra for the best results. Take it as prescribed. Sildenafil is most commonly ...

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.

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