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GEOGRAFIK AXBOROT TIZIMLARIDA SUN’IY INTELLEKTGA ASOSLANGAN DASTURLARDAN FOYDALANISH ISTIQBOLLARI

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MAQOLA ANNOTATSIYASI

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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.

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# нейронные сети# neural networks# карта# map# artificial intelligence# искусственный интеллект# ekspert tizimlar# экспертные системы# expert systems# дистанционное зондирование# remote sensing# география# geography# geografiya# xarita# sun’iy intellekt# neyron tarmoqlar# geografik axborot tizimlari (GAT# masofadan zondlash# географические информационные си# geographic information systems (

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Maqola idintifikatorlari

Foydalanilgan adabiyotlar

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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

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

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.

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.

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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