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Ushbu maqolada hozirgi davrda tobora raqamli texnologiyalarning yildan-yilga rivojlanib borishi asnosida sun’iy intellekt asosida ishlaydigan dasturlardan geografik axborot tizimlari (GAT) da foydalanish jihatlari haqida so‘z boradi.

  • Ўқишлар сони 55
  • Нашр санаси 05-07-2024
  • Мақола тилиO'zbek
  • Саҳифалар сони406-414
Ўзбек

Ushbu maqolada hozirgi davrda tobora raqamli texnologiyalarning yildan-yilga rivojlanib borishi asnosida sun’iy intellekt asosida ishlaydigan dasturlardan geografik axborot tizimlari (GAT) da foydalanish jihatlari haqida so‘z boradi.

Русский

В данной статье говорится об аспектах использования программ искусственного интеллекта в географических информационных системах (ГИС) в условиях развития цифровых технологий из года в год.

English

This article talks about the aspects of using artificial intelligence programs in geographic information systems (GIS) in the context of the development of digital technologies from year to year

№ Муаллифнинг исми Лавозими Ташкилот номи
1 Mirislomov M.. talabasi Chirchiq davlat pedagogika universiteti
№ Ҳавола номи
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6 Hu, Y., Li, W., Wright, D., Aydin, O., Wilson, D., Maher, O, and Raad, M. (2019). Artificial Intelligence Approaches. The Geographic Information Science & Technology Body of Knowledge (3rd Quarter 2019 Edition), John P. Wilson (ed.). DOI: https://doi.org/10.22224/gistbok/2019.3.4
7 Russell, S. J., Norvig, P., Canny, J. F., Malik, J. M. and Edwards, D. D., 2003. Artificial intelligence: a modern approach. Prentice hall Upper Saddle River.
8 Openshaw S, Openshaw C (1997) Artificial intelligence in geography. Wiley, New York
9 Stock K, Jones CB, Russell S, Radke M, Das P, Aflaki N (2022) Detecting geospatial location descriptions in natural language text. Int J Geogr Inf Sci 36(3):547– 584
10 Purves RS, Clough P, Jones CB, Hall MH, Murdock V et al (2018) Geographic information retrieval: progress and challenges in spatial search of text. Found Trends® Inf Retr 12(2–3):164–318
11 Mirislomov Mirdavlat GEOGRAFIK AXBOROT TIZIMI VA GEOGRAFIK TADQIQOTLARDA SUN’IY INTELLEKTGA ASOSLANGAN EKSPERT TIZIMLARINING O‘RNI VA AHAMIYATI // Raqamli iqtisodiyot (Цифровая экономика). 2024. №6. URL: https://cyberleninka.ru/article/n/geografikaxborot- tizimi-va-geografik-tadqiqotlarda-sun-iy-intellektga-asoslangan-eksperttizimlarining- o-rni-va-ahamiyati
12 Li, W., Zhou, B., Hsu, C.-Y., Li, Y. and Ren, F., Recognizing terrain features on terrestrial surface using a deep learning model: an example with crater detection. ed. Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, 2017b, 33-36.
13 Li, W. and Hsu, C.-Y. 2018. Automated terrain feature identification from remote sensing imagery: a deep learning approach. International Journal of Geographical Information Science, 1-24.
14 Hu, Y., Li, W., Wright, D., Aydin, O., Wilson, D., Maher, O, and Raad, M. (2019). Artificial Intelligence Approaches. The Geographic Information Science & Technology Body of Knowledge (3rd Quarter 2019 Edition), John P. Wilson (ed.). DOI: https://doi.org/10.22224/gistbok/2019.3.4
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