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Browsing by Subject "machine learning"

Browsing by Subject "machine learning"

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  • APPLYING MACHINE LEARNING TO IMPROVE A TEXTURE TYPE IMAGE 
    Kozhabai, K.; Bayegizova, A.; Kassenova, L.; Manbetova, Z.,; Glazyrina, N.; Bersugir, M.; Yeginbayev, M. (Eastern-European Journal of Enterprise Technologies, 2023)
    The paper is devoted to machine learning methods that focus on texture-type image enhancements, namely the improvement of objects in images. The aim of the study is to develop algorithms for improving images and to determine ...
  • APPLYING MACHINE LEARNING TO IMPROVE A TEXTURE TYPE IMAGE 
    Tussupov, Jamalbek; Kozhabai, Kairat; Bayegizova, Aigulim; Kassenova, Leila; Manbetova, Zhanat; Glazyrina, Natalya; Bersugir, Mukhamedi; Yeginbayev, Miras (Eastern-European Journal of Enterprise Technologies, 2023)
    The paper is devoted to machine learning methods that focus on texture-type image enhancements, namely the improvement of objects in images. The aim of the study is to develop algorithms for improving images and to determine ...
  • Applying machine learning to improve a texture type image 
    Tussupov, Jamalbek; Kozhabai, Kairat; Bayegizova, Aigulim; Kassenova, Leila (Eastern-European Journal of Enterprise Technologies, 2023)
    The paper is devoted to machine learning methods that focus on texture-type image enhancements, namely the improvement of objects in images. The aim of the study is to develop algorithms for improving images and to determine ...
  • Artificial Olfactory System for Distinguishing Oil-Contaminated Soils 
    SATYBALDINA, DINA; BAYDELDINOV, MARAT; ISSAINOVA, ALIYA; ALSEITOV, OLZHAS; KONYRKHANOVA, ASSEM; AKHMETOVA, ZHANAR; SEILOV, SHAKHMARAN (WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT, 2023)
    Oil-contaminated soils are a major environmental problem for Kazakhstan. Oil spills or leaks lead to profound changes in the physical and agrochemical properties of the soil and the accumulation of hazardous substances. ...
  • Artificial Olfactory System for Distinguishing Oil-Contaminated Soils 
    SATYBALDINA, DINA; BAYDELDINOV, MARAT; ISSAINOVA, ALIYA; ALSEITOV, OLZHAS; KONYRKHANOVA, ASSEM; AKHMETOVA, ZHANAR; SEILOV, SHAKHMARAN (WSEAS TRANSACTIONS on ENVIRONMENT and DEVELOPMENT, 2023)
    Oil-contaminated soils are a major environmental problem for Kazakhstan. Oil spills or leaks lead to profound changes in the physical and agrochemical properties of the soil and the accumulation of hazardous substances. ...
  • International legal regulation of the use of artificial intelligence in the health care sector 
    Yelegen, A.Ye. (L.N.Gumilyov Eurasian National University, 2022)
    The use of artificial intelligence technologies in healthcare offers truly impressive prospects. At the same time, the healthcare industry is traditionally and reasonably conservative. Many applications of technologies ...
  • Machine Learning for the Communication Optimization in Distributed Systems 
    Kazhmaganbetova, Zarina; Imangaliyev, Shnar; Sharipbay, Altynbek (International Journal of Engineering & Technology, 2018)
    The objective of the work that is presented in this paper was the problem of the communication optimization and detection of the issues of computing resources performance degradation [1, 2] with the usage of machine ...
  • Machine Learning for the Communication Optimization in Distributed Systems 
    Kazhmaganbetova, Zarina; Imangaliyev, Shnar; Sharipbay, Altynbek (International Journal of Engineering & Technology, 2018)
    The objective of the work that is presented in this paper was the problem of the communication optimization and detection of the issues of computing resources performance degradation [1, 2] with the usage of machine ...
  • Machine Learning for the Communication Optimization in Distributed Systems 
    Kazhmaganbetova, Zarina; Imangaliyev, Shnar; Sharipbay, Altynbek (International Journal of Engineering & Technology, 2018)
    The objective of the work that is presented in this paper was the problem of the communication optimization and detection of the issues of computing resources performance degradation [1, 2] with the usage of machine ...

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