title: Results and Discussion - Qarshi davlat universiteti international scientific and practical conference on algorithms...
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  Qarshi davlat universiteti international scientific and practical conference on algorithms and current problems of programming Pdf ko'rish
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  Bog'liq Asosiy oxirgi 17.05.2023 18.20Results and Discussion:
  This research paper discusses a task involving recognition of
  sign language and proposes a two-stage transfer learning approach for Sign Language
  Recognition (SLR). The Inception V3 pre-existing model was utilized for this task, where
  the model was initially trained on the ImageNet dataset, and then on the Kaggle ASL
  dataset. Subsequently, we applied the two-stage transfer learning approach and trained the
  model with our UzSL dataset. The obtained results are present in Table 1, which illustrates
  that the letters Oʻ and Gʻ exhibited lower accuracy values.
  Conclusion:
  The objective of this research is to achieve accurate recognition of Kazakh
  sign language. To attain this objective, a dataset consisting of over 3000 images for 30
  gestures was create. However, the limited number of images affected the clarity of our
  results. We also considered lighting as a parameter affecting recognition quality, to ensure
  that our development yields satisfactory results.
  Gesture classification was carry out using three classification algorithms. The random
  classifier had an average accuracy of 93.2%. In addition, the performance of the algorithm
  was evaluate based on its speed of execution and training time.
  References
  1. Ahmed, M. A., Zaidan, B. B., Zaidan, A. A., Salih, M. M., Lakulu, M. M. bin. (2018). A
  Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art
  between 2007 and 2017. Sensors, 18 (7), 2208. doi: http://doi.org/10.3390/s18072208
  2. R. Bhavani, S. Ananthakumaran. Development of a smart walking stick for visually
  impaired people, Turkish Journal of Computer and Mathematics Education, Vol.12 No.2
  (2021), DOI:10.17762/TURCOMAT.V12I2.1112
  3. P. Mell and T. Grance, “The NIST Definition of Cloud Computing” (Technical report),
  National Institute of Standards and Technology: U.S. Department of Commerce, pp. 1-7,
  September 2011. doi:10.6028/NIST.SP.800-145. Special publication 800-145.
  4. Kudubayeva, S.; Amangeldy, N.; Sundetbayeva, A.; Sarinova, A. The Use Of Correlation
  Analysis In The Algorithm Of Dynamic Gestures Recognition In Video Sequence. In
  Proceedings Of The 5th International Conference On Engineering And Mis, Pahang,
  Malaysia, 6–8 June 2019. Https://Doi.Org/10.1145/3330431.3330439.
  5. Pozilova, S.K., Mnpcanneaa, M.T., Kayumov, O.A., Development of Professional
  Creativity of Professional Teachers in Professional Courses on The Basis of E-Pedagogy
  Principle. Apr 2022 | ICETT International Conference on Education and Training
  Technologies. DOI: 10.1145/3535756.3535767
  6. O Turakulov, O Kayumov, O Kayumov Improving the quality of independent education
  by creating an interactive intellectual electronic learning resource in higher education
  209
  institutions. International Journal of Contemporary Scientific and Technical Research. DOI:
  10.5281/zenodo.7612814
  7. O Turakulov, O Kayumov, O Kayumov Methodology of creating interactive electronic
  educational resources and using them in the educational process. DOI:
  10.5281/zenodo.7643543
  8. O Kayumov Interaktiv intellektual elektron ta’lim resursidan o‘quv va mustaqil ish
  jarayonilarida foydalanish metodikasi. RESEARCH AND EDUCATION, 2022
  9. O Kayumov Methodological foundations of modeling the process of creating an
  interactive intellectual electronic educational resource. Инновационные научные
  исследования 2022
  Raufov R.U. Aholining salomatlik darajasini baholashda qo‘llaniladigan usullar
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  Qarshi davlat universiteti international scientific and practical conference on algorithms and current problems of programming
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