Alimzhan Yessenov

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Alimzhan Yessenov


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https://researchid.co/a.yessenov
2

Scopus Publications

10

Scholar Citations

2

Scholar h-index

Scopus Publications

  • COMPARISON OF DEEP LEARNING-BASED MODELS FOR DETECTION OF DISEASED TREES USING AN IMAGE COMPRESSION ALGORITHM
    Assiya Sarinova, Leila Rzayeva, Gulnara Abitova, Alimzhan Yessenov, Ansar Sansyzbayev, Yerassyl Omirtay
    Eastern European Journal of Enterprise Technologies, 2024
    The object of the research is the application of deep learning algorithms using an improved mathematical lossless image compression method for recognizing and identifying dead trees in aerospace images. The main problem that has been solved is the archiving of images due to their large volume on disk and the possibility of their further processing by deep learning methods such as convolutional and capsule neural networks, which have shown high efficiency and accuracy in image recognition and classification tasks using the proposed new image compression method. The article presents a comparative analysis of the performance of three YOLO (You Only Look Once) models with different types of architectures, such as YOLOv5, YOLOv7 and YOLOv8, to assess the effectiveness of their work for the task of recognizing aerospace tree images obtained from satellites, drones, and aircrafts. Comprehensive analysis of YOLO models presents that model YOLO v8 turned out to be most effective with a positive accuracy of 88.2 %, a recall of 77.4 %, and a mAP50 score of 87.2 %. Moreover, the average detection time was only 0.052 seconds for each image, even though the model size remains very small – 21.5 MB. These results suggest a much better usage of time and precise identification of dead trees, and classified targets with high efficiency. From the research, there is significant prospects of global forest management especially on forest reduction and protection of ecosystems through accurate assessment on the health of forestry. The proposed approach is universal and can be used in real life conditions, providing a good compromise of the speed, accuracy and resources required for forest monitoring and management
  • DEVELOPMENT OF AN ALGORITHM FOR COMPRESSING AEROSPACE IMAGES FOR THE SUBSEQUENT RECOGNITION AND IDENTIFICATION OF VARIOUS OBJECTS
    Assiya Sarinova, Alexandr Neftissov, Leyla Rzayeva, Alimzhan Yessenov, Lalita Kirichenko, Ilyas Kazambayev
    Eastern European Journal of Enterprise Technologies, 2024
    The object of study is the recognition and identification of various objects in aerospace images. To solve the problems of compressing hyperspectral aerospace images with losses, the development of a compression algorithm is proposed. As a result, an algorithm has been developed for compressing aerospace images for subsequent recognition and identification of various objects using wavelet transform for processing high- and medium-resolution space images when monitoring from remote sensing satellites, based on the use of structural features of object images. In particular, orthogonal and wavelet transforms are presented, adapted for compression of hyperspectral aerospace images with losses, an adaptive discrete cosine transform algorithm is presented, followed by quantization with a loss level and compression. Thanks to a series of experiments on hyperspectral aerospace images, the effectiveness of the proposed algorithm in terms of the degree of compression, as well as the characteristics of the limits of its applicability, can be highlighted. The use of wavelets provides progressive compression of the bitstream, which makes it possible to achieve lossless compression with minimal loss of information due to the modified Huffman algorithm with a compression ratio of 9 more than 2.5 times in existing algorithms, as well as the quality metric of the restored images, the peak signal-to-noise ratio is sufficiently below 32.56. The developed compression algorithm demonstrates the effectiveness of its application in terms of a set of characteristics and is superior to analogues. The scope and conditions for the practical use of the results obtained is a comparison of the proposed algorithm with the results of experiments obtained for universal compression algorithms for archivers and a compressor

RECENT SCHOLAR PUBLICATIONS

  • SMART GREENHOUSES FOR SUSTAINABLE AGRICULTURE AND HORTICULTURE IN THE CLIMATE CHANGE ERA: GLOBAL PERSPECTIVES WITH INSIGHTS FROM CENTRAL ASIA
    YAS SADVAKASSOVA A. U., PIRMAN I. I., KIM V. P.
    МАТЕРИАЛЫ МЕЖДУНАРОДНОЙ НАУЧНО-ПРАКТИЧЕСКОЙ КОНФЕРЕНЦИИ «XVII … , 2025
    2025.0
  • THE FUTURE OF AGRIBUSINESS IN KAZAKHSTAN WITH IOT TECHNOLOGIES AND A RENTAL MODEL
    YAS SADVAKASSOVA A. U., BEKKOZHIN A. A., SAPA E. B.
    МАТЕРИАЛЫ МЕЖДУНАРОДНОЙ НАУЧНО-ПРАКТИЧЕСКОЙ КОНФЕРЕНЦИИ «XVII … , 2025
    2025.0
  • INDUSTRY 4.0 AND DIGITAL TECHNOLOGIES IN MECHANICAL ENGINEERING: PROSPECTS FOR DEVELOPMENT AND IMPLEMENTATION CHALLENGES
    SAU YESSENOV A. S., MARATOVA A. B.
    МАТЕРИАЛЫ МЕЖДУНАРОДНОЙ НАУЧНО-ПРАКТИЧЕСКОЙ КОНФЕРЕНЦИИ «XVII … , 2025
    2025.0
  • METHODS OF INFORMATION SECURITY IN THE INTERNET OF THINGS (IOT) NETWORKS USING QUANTUM MACHINE LEARNING.
    A Sadvakassova, A Yessenov
    Scientific Journal of Astana IT University 22 , 2025
    2025.0
  • COMPARISON OF DEEP LEARNING-BASED MODELS FOR DETECTION OF DISEASED TREES USING AN IMAGE COMPRESSION ALGORITHM.
    A Sarinova, L Rzayeva, G Abitova, A Yessenov, A Sansyzbayev, ...
    Eastern-European Journal of Enterprise Technologies 131 (2) , 2024
    2024.0
    Citations: 4
  • DEVELOPMENT OF AEROSPACE IMAGES PRELIMINARY PROCESSING METHOD FOR SUBSEQUENT RECOGNITION AND IDENTIFICATION OF VARIOUS OBJECTS
    A Sarinova, A Neftissov, L Rzayeva, A Yessenov, L Kirichenko, ...
    Scientific Journal of Astana IT University, 96-106 , 2024
    2024.0
    Citations: 2
  • DEVELOPMENT OF AN ALGORITHM FOR COMPRESSING AEROSPACE IMAGES FOR THE SUBSEQUENT RECOGNITION AND IDENTIFICATION OF VARIOUS OBJECTS.
    A Sarinova, A Neftissov, L Rzayeva, A Yessenov, L Kirichenko, ...
    Eastern-European Journal of Enterprise Technologies 129 (2) , 2024
    2024.0
    Citations: 3
  • ATLAS OF NEW PROFESSIONS AND COMPETENCIES OF KAZAKHSTAN
    №4 ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ enbek.kz/atlas , 2020
    2020.0
  • ANALYSIS OF ANTENNA SYSTEMS FOR REMOTE SENSING OF THE EARTH WITH A HEXAPOID PEDESTAL
    A Yessenov, G Kerimbay, A Zhakupova, B Kerimbay
    Global Science and Innovations 2018, 237-242 , 2018
    2018.0
  • Research of antenna systems for remote sensing of the earth with the help of a hexapod stand
    A Zhakupova, D Yergaliyev, A Yessenov, B Autalipova, A Bimyrzayev
    Труды Международного симпозиума «Надежность и качество» 2, 12-15 , 2018
    2018.0
    Citations: 1
  • ВЫСТАВКА «20 ЛЕТ СНГ»: ИТОГИ
    ГАО ВВЦ
    Ответственность за достоверность материалов несут авторы статей. Мне ние ре … , 2011
    2011.0
  • ЗАСЕДАНИЕ НАЦИОНАЛЬНЫХ ГОСУДАРСТВЕННЫХ ЗАКАЗЧИКОВ МЕЖГОСУДАРСТВЕННОЙ РАДИОНАВИГАЦИОННОЙ ПРОГРАММЫ ГОСУДАРСТВ‑УЧАСТНИКОВ СНГ НА ПЕРИОД ДО 2012 ГОДА 11–12 августа 2011 г., Астана
    СН Ковынёв

MOST CITED SCHOLAR PUBLICATIONS

  • COMPARISON OF DEEP LEARNING-BASED MODELS FOR DETECTION OF DISEASED TREES USING AN IMAGE COMPRESSION ALGORITHM.
    A Sarinova, L Rzayeva, G Abitova, A Yessenov, A Sansyzbayev, ...
    Eastern-European Journal of Enterprise Technologies 131 (2) , 2024
    2024.0
    Citations: 4
  • DEVELOPMENT OF AN ALGORITHM FOR COMPRESSING AEROSPACE IMAGES FOR THE SUBSEQUENT RECOGNITION AND IDENTIFICATION OF VARIOUS OBJECTS.
    A Sarinova, A Neftissov, L Rzayeva, A Yessenov, L Kirichenko, ...
    Eastern-European Journal of Enterprise Technologies 129 (2) , 2024
    2024.0
    Citations: 3
  • DEVELOPMENT OF AEROSPACE IMAGES PRELIMINARY PROCESSING METHOD FOR SUBSEQUENT RECOGNITION AND IDENTIFICATION OF VARIOUS OBJECTS
    A Sarinova, A Neftissov, L Rzayeva, A Yessenov, L Kirichenko, ...
    Scientific Journal of Astana IT University, 96-106 , 2024
    2024.0
    Citations: 2
  • Research of antenna systems for remote sensing of the earth with the help of a hexapod stand
    A Zhakupova, D Yergaliyev, A Yessenov, B Autalipova, A Bimyrzayev
    Труды Международного симпозиума «Надежность и качество» 2, 12-15 , 2018
    2018.0
    Citations: 1
  • SMART GREENHOUSES FOR SUSTAINABLE AGRICULTURE AND HORTICULTURE IN THE CLIMATE CHANGE ERA: GLOBAL PERSPECTIVES WITH INSIGHTS FROM CENTRAL ASIA
    YAS SADVAKASSOVA A. U., PIRMAN I. I., KIM V. P.
    МАТЕРИАЛЫ МЕЖДУНАРОДНОЙ НАУЧНО-ПРАКТИЧЕСКОЙ КОНФЕРЕНЦИИ «XVII … , 2025
    2025.0
  • THE FUTURE OF AGRIBUSINESS IN KAZAKHSTAN WITH IOT TECHNOLOGIES AND A RENTAL MODEL
    YAS SADVAKASSOVA A. U., BEKKOZHIN A. A., SAPA E. B.
    МАТЕРИАЛЫ МЕЖДУНАРОДНОЙ НАУЧНО-ПРАКТИЧЕСКОЙ КОНФЕРЕНЦИИ «XVII … , 2025
    2025.0
  • INDUSTRY 4.0 AND DIGITAL TECHNOLOGIES IN MECHANICAL ENGINEERING: PROSPECTS FOR DEVELOPMENT AND IMPLEMENTATION CHALLENGES
    SAU YESSENOV A. S., MARATOVA A. B.
    МАТЕРИАЛЫ МЕЖДУНАРОДНОЙ НАУЧНО-ПРАКТИЧЕСКОЙ КОНФЕРЕНЦИИ «XVII … , 2025
    2025.0
  • METHODS OF INFORMATION SECURITY IN THE INTERNET OF THINGS (IOT) NETWORKS USING QUANTUM MACHINE LEARNING.
    A Sadvakassova, A Yessenov
    Scientific Journal of Astana IT University 22 , 2025
    2025.0
  • ATLAS OF NEW PROFESSIONS AND COMPETENCIES OF KAZAKHSTAN
    №4 ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ enbek.kz/atlas , 2020
    2020.0
  • ANALYSIS OF ANTENNA SYSTEMS FOR REMOTE SENSING OF THE EARTH WITH A HEXAPOID PEDESTAL
    A Yessenov, G Kerimbay, A Zhakupova, B Kerimbay
    Global Science and Innovations 2018, 237-242 , 2018
    2018.0
  • ВЫСТАВКА «20 ЛЕТ СНГ»: ИТОГИ
    ГАО ВВЦ
    Ответственность за достоверность материалов несут авторы статей. Мне ние ре … , 2011
    2011.0
  • ЗАСЕДАНИЕ НАЦИОНАЛЬНЫХ ГОСУДАРСТВЕННЫХ ЗАКАЗЧИКОВ МЕЖГОСУДАРСТВЕННОЙ РАДИОНАВИГАЦИОННОЙ ПРОГРАММЫ ГОСУДАРСТВ‑УЧАСТНИКОВ СНГ НА ПЕРИОД ДО 2012 ГОДА 11–12 августа 2011 г., Астана
    СН Ковынёв