Open Access
SHS Web Conf.
Volume 102, 2021
The 3rd ETLTC International Conference on Information and Communications Technology (ETLTC2021)
Article Number 04013
Number of page(s) 8
Section Applications in Computer Science
Published online 03 May 2021
  1. 2020. Becoming A Data-Driven CEO — Domo. [online] Available at: [Accessed 12 June 2020]. [Google Scholar]
  2. Pan, W., Li, Z., Zhang, Y. and Weng, C., 2018. The new hardware development trend and the challenges in data management and analysis. Data Science and Engineering, 3(3), pp.263-276. [CrossRef] [Google Scholar]
  3. Rahman, M. and Hamada, M., 2019. Lossless Image ComPression Techniques: A State-of-the-Art Survey. Symmetry, 11(10), p.1274. [CrossRef] [Google Scholar]
  4. Rahman, M.A., Shin, J., Saha, A.K. and Islam, M.R., 2018, June. A Novel Lossless Coding Technique for Image ComPression. In 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR) (pp. 82-86). IEEE. [Google Scholar]
  5. Sadchenko, A.; Kushnirenko, O.; Plachinda, O. Fast lossy comPression algorithm for medical images. In Proceedings of the 2016 International Conference on Electronics and Information Technology (EIT), Odessa, Ukraine, 23–27 May 2016; pp. 1–4. [Google Scholar]
  6. Pandey, M.; Shrivastava, S.; Pandey, S.; Shridevi, S. An Enhanced Data ComPression Algorithm. In Proceedings of the 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Tamil Nadu, India, 24–25 February 2020; pp. 1–4. [Google Scholar]
  7. Bovik, A.C. ed., 2009. The essential guide to image processing. Academic Press. [Google Scholar]
  8. Rahman, M.A. and Hamada, M., 2019, October. A Semi-Lossless Image ComPression Procedure using a Lossless Mode of JPEG. In 2019 IEEE 13th International Symposium on Embedded Multicore/Manycore Systems-on-Chip (MCSoC) (pp. 143-148). IEEE. [Google Scholar]
  9. Rahman, M., Hamada, M. and Shin, J., 2021. The Impact of State-of-the-Art Techniques for Lossless Still Image ComPression. Electronics, 10(3), p.360. [CrossRef] [Google Scholar]
  10. Oswald, C.; Sivaselvan, B. An optimal text comPression algorithm based on frequent pattern mining. J. Ambient. Intell. Humaniz. Comput. 2018, 9, 803–822. [CrossRef] [Google Scholar]
  11. Portell, J.; Iudica, R.; Garc´ıa-Berro, E.; Villafranca, A.G.; Artigues, G. FAPEC, a versatile and efficient data comPressor for space missions. Int. J. Remote Sens. 2018, 39, 2022–2042. [CrossRef] [Google Scholar]
  12. Rahim, R. Combination of the Blowfish and Lempel-Ziv-Welch Algorithms for Text ComPression; OSF Storage: STMIK Triguna Dharma, Universiti Malaysia Perlis, 2017. [Google Scholar]
  13. Welch, T.A. A technique for high-performance data comPression. Computer 1984, 17, 8–19. [CrossRef] [Google Scholar]
  14. Storer, J.A. (Ed.) Image and Text ComPression; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2012; Volume 176. [Google Scholar]
  15. Salomon, D. A Concise Introduction to Data ComPression; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2007. [Google Scholar]
  16. Nelson, M.; Gailly, J.L. The Data ComPression Book, 2nd ed.; M & T Books: New York, NY, USA, 1995. [Google Scholar]
  17. Gupta, A.; Bansal, A.; Khanduja, V. Modern lossless comPression techniques: Review, comparison and analysis. In Proceedings of the 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT), Coimbatore, India, 22–24 February 2017; pp. 1–8. [Google Scholar]
  18. Rahman, M. and Hamada, M., 2020. Burrows–Wheeler Transform Based Lossless Text ComPression Using Keys and Huffman Coding. Symmetry, 12(10), p.1654. [CrossRef] [Google Scholar]
  19. Burrows, M.; Wheeler, D.J. A Block-Sorting Lossless Data ComPression Algorithm; Systems Research Center: Palo Alto, CA, USA, 1994. [Google Scholar]
  20. Patel, R.A.; Zhang, Y.; Mak, J.; Davidson, A.; Owens, J.D. Parallel lossless data comPression on the GPU. In Proceedings of the 2012 Innovative Parallel Computing (InPar), San Jose, CA, USA, 13–14 May 2012; pp. 1–9. [Google Scholar]
  21. Sharma, M., 2010. ComPression using Huffman coding. IJCSNS International Journal of Computer Science and Network Security, 10(5), pp.133-141. [Google Scholar]
  22. Rufai, A.M., Anbarjafari, G. and Demirel, H., 2013, April. Lossy medical image comPression using Huffman coding and singular value decomposition. In 2013 21st Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE. [Google Scholar]
  23. Rahman, M.A., Rabbi, M.F., Rahman, M.M., Islam, M.M. and Islam, M.R., 2018, September. Histogram modification based lossy image comPression scheme using Huffman coding. In 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) (pp. 279-284). IEEE. [CrossRef] [Google Scholar]
  24. Storer, J.A. and Szymanski, T.G., 1982. Data comPression via textual substitution. Journal of the ACM (JACM), 29(4), pp.928-951. [CrossRef] [Google Scholar]
  25. Deutsch, P., 1996. RFC1951: DEFLATE comPressed data format specification version 1.3. [Google Scholar]
  26. Radford, A., Wu, J., Child, R., Luan, D., Amodei, D. and Sutskever, I., 2019. Language models are unsupervised multitask learners. OpenAI blog, 1(8), p.9. [Google Scholar]
  27. Radford, A., Narasimhan, K., Salimans, T. and Sutskever, I., 2018. Improving language understanding by generative pre-training. [Google Scholar]
  28. Sennrich, R., Haddow, B. and Birch, A., 2015. Neural machine translation of rare words with subword units. arXiv preprint arXiv:1508.07909. [Google Scholar]

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