Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sharma, Mahesh Kumar; Alapatt, Bosco Paul; Sharma, Vandana; Shanbhog, Manjula Title A name given to the resource A Comparative Review of Lossless Text Compression Algorithms: From Classic Techniques to Hybrid Models Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 2nd International Conference on Advanced Computing and Emerging Technologies, ACET 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACET67282.2025.11430241" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACET67282.2025.11430241</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037939371?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037939371?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sharma M.K., Christ University, Uttar Pradesh, Ghaziabad, India; Alapatt B.P., Christ University, Bengaluru, India; Sharma V., Christ University, Bengaluru, India; Shanbhog M., Christ University, Bengaluru, India Description An account of the resource The lossless text compression is an essential part of data transmission and storage that allows using resources effectively without losing data integrity. This paper combines the most recent research with the important discoveries of benchmark research that focuses on essential algorithms such as Huffman LZW and Shannon-Fano and advanced hybrid algorithms such as LZW and Burrows-Wheeler Transform (BWT -based algorithms. The trade-offs between compression ratio, speed and adaptability can be observed comparing how algorithmic concepts, operational stages and empirical performance evolve in different datasets. This evaluation ends with recommendations on how to choose algorithms as well as future research recommendations. 2025 IEEE. Subject The topic of the resource BPC; Compression; Compression Rate; Huffman; Shannon-Fano Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833156783-5; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online