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Просмотр по теме "machine learning"

Просмотр по теме "machine learning"

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  • Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods 
    TUSSUPOV, JAMALBEK; YESSENOVA, MOLDIR; ABDIKERIMOVA, GULZIRA; AIMBETOV, AIDYN; BAKTYBEKOV, KAZBEK; MURZABEKOVA, GULDEN; AITIMOVA, ULZADA (IEEE Access, 2024)
    This article is devoted to a set of important areas of research: the analysis of formal representations and verification of pests and pathogens affecting crops using spectral brightness coefficients (SBR) for the period ...
  • Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods 
    TUSSUPOV, JAMALBEK; YESSENOVA, MOLDIR; ABDIKERIMOVA, GULZIRA; AIMBETOV, AIDYN; BAKTYBEKOV, KAZBEK; MURZABEKOVA, GULDEN; AITIMOVA, ULZADA (IEEE Access, 2024)
    This article is devoted to a set of important areas of research: the analysis of formal representations and verification of pests and pathogens affecting crops using spectral brightness coefficients (SBR) for the period ...
  • Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods 
    TUSSUPOV, JAMALBEK; YESSENOVA, MOLDIR; ABDIKERIMOVA, GULZIRA; AIMBETOV, AIDYN; BAKTYBEKOV, KAZBEK; MURZABEKOVA, GULDEN; AITIMOVA, ULZADA (IEEE Access, 2024)
    This article is devoted to a set of important areas of research: the analysis of formal representations and verification of pests and pathogens affecting crops using spectral brightness coefficients (SBR) for the period ...
  • 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, J.; 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 ...
  • APPLYING MACHINE LEARNING TO IMPROVE A TEXTURE TYPE IMAGE 
    Tussupov, J.; 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 ...
  • APPLYING MACHINE LEARNING TO IMPROVE A TEXTURE TYPE IMAGE 
    Неизвестный автор (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 ...
  • 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 ...
  • APPLYING MACHINE LEARNING TO IMPROVE A TEXTURE TYPE IMAGE 
    Tussupov, Jamalbek; Kozhabai, Kairat; Bayegizova, Aigulim; Kassenova, Leila; Manbetova, Zhanat; Glazyrina, Natalya; Mukhamedi, Bersugir; 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 ...
  • 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. ...
  • Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning 
    Sultan, Daniyar; Toktarova, Aigerim; Zhumadillayeva, Ainur; Aldeshov, Sapargali; Mussiraliyeva, Shynar; Beissenova, Gulbakhram; Tursynbayev, Abay; Baenova, Gulmira; Imanbayeva, Aigul (Computers, Materials & Continua, 2023)
    Communication in society had developed within cultural and geographical boundaries prior to the invention of digital technology. The latest advancements in communication technology have significantly surpassed the ...
  • Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning 
    Sultan, Daniyar; Toktarova, Aigerim; Zhumadillayeva, Ainur; Aldeshov, Sapargali; Mussiraliyeva, Shynar; Beissenova, Gulbakhram; Tursynbayev, Abay; Baenova, Gulmira; Imanbayeva, Aigul (Computers, Materials & Continua, 2023)
    Communication in society had developed within cultural and geographical boundaries prior to the invention of digital technology. The latest advancements in communication technology have significantly surpassed the ...
  • Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning 
    Sultan, Daniyar; Toktarova, Aigerim; Zhumadillayeva, Ainur; Aldeshov, Sapargali; Mussiraliyeva, Shynar; Beissenova, Gulbakhram; Tursynbayev, Abay; Baenova, Gulmira; Imanbayeva, Aigul (Computers, Materials & Continua, 2023)
    Communication in society had developed within cultural and geographical boundaries prior to the invention of digital technology. The latest advancements in communication technology have significantly surpassed the ...
  • Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning 
    Sultan, Daniyar; Toktarova, Aigerim; Zhumadillayeva, Ainur; Aldeshov, Sapargali; Mussiraliyeva, Shynar; Beissenova, Gulbakhram; Tursynbayev, Abay; Baenova, Gulmira; Imanbayeva, Aigul (Computers, Materials & Continua, 2023)
    Communication in society had developed within cultural and geographical boundaries prior to the invention of digital technology. The latest advancements in communication technology have significantly surpassed the ...
  • DEVELOPMENT OF INTELLIGENT ELECTRONIC DOCUMENT MANAGEMENT SYSTEM MODEL BASED ON MACHINE LEARNING METHODS 
    Sambetbayeva, M.,; Kuspanova, I.,; Yerimbetova, A.,; Serikbayeva, S.,; Bauyrzhanova, S. (Eastern-European Journal of Enterprise Technologies, 2022)
    With the daily increase in document flow, as well as the transition to paperless document management around the world, the demand for electronic document management systems is increasing. This significantly requires ...
  • DEVELOPMENT OF INTELLIGENT ELECTRONIC DOCUMENT MANAGEMENT SYSTEM MODEL BASED ON MACHINE LEARNING METHODS 
    Sambetbayeva, M.; Kuspanova, I.; Yerimbetova, A.; Serikbayeva, S.; Bauyrzhanova, S (Eastern-European Journal of Enterprise Technologies, 2022)
    With the daily increase in document flow, as well as the transition to paperless document management around the world, the demand for electronic document management systems is increasing. This significantly requires ...
  • Development of a Framework for Classification of Impulsive Urban Sounds using BiLSTM Network 
    Katayev, Nazbek; Altayeva, Aigerim; Abduraimova, Bayan; Kurmanbekkyzy, Nurgul; Madibaiuly, Zhumabay; Kulambayev, Bakhytzhan (International Journal of Advanced Computer Science and Applications, 2023)
    Urban environments are awash with myriad sounds, among which impulsive noises stand distinct due to their brief and often disruptive nature. As cities evolve and expand, the accurate classification and management of ...
  • Development of Deep Learning Models for Traffic Sign Recognition in Autonomous Vehicles 
    Kozhamkulova, Zhadra; Bidakhmet, Zhanar; Vorogushina, Marina; Tashenova, Zhuldyz; Tussupova, Bella; Nurlybaeva, Elmira; Kambarov, Dastan (International Journal of Advanced Computer Science and Applications, 2024)
    This research paper investigates the development of deep learning models for traffic sign recognition in autonomous vehicles. Leveraging convolutional neural networks (CNNs), the study explores various architectural ...