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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. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   These techniques are used to reduce data size for storing, handling, and transmitting content. Higher degrees of approximation create coarser images as more details are removed. This is opposed to lossless data compression (reversible data compression) which does not degrade the data. The amount of data reduction possible using lossy ...

4. 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 ] .

5. File:Ilovepdf.svg - Wikipedia

   en.wikipedia.org/wiki/File:Ilovepdf.svg

   Original file (SVG file, nominally 85 × 75 pixels, file size: 660 bytes) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

6. Sleep could help erase bad memories, study finds: ‘Therapy ...

   www.aol.com/sleep-could-help-erase-bad-093015714...

   Sleep has been shown to have a long list of physical and mental health benefits, and now a new study suggests it could also help to “erase" bad memories. Experts comment on the findings.

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.