INSHOOTLAR DEFORMATSIYASINI BASHORAT QILISHDA SUN’IY INTELLEKT MODELLARIDAN FOYDALANISHNING GEODEZIK ASOSLARI
Keywords:
Geodeziya, deformatsiya monitoringi, sun’iy intellekt, mashinaviy o‘rganish, geodezik kuzatuvlar, bashoratlash, inshootlar xavfsizligi.Abstract
Mazkur maqolada inshootlar deformatsiyasini aniqlash va bashorat qilish jarayonida geodezik kuzatuv ma’lumotlari asosida sun’iy intellekt modellaridan foydalanish masalalari yoritilgan. An’anaviy geodezik monitoring usullarining cheklovlari tahlil qilinib, mashinaviy o‘rganish va chuqur o‘rganish algoritmlarining deformatsion jarayonlarni oldindan prognozlashdagi afzalliklari ko‘rsatib berilgan. Tadqiqotda geodezik o‘lchovlar aniqligini oshirish, xavfli deformatsiyalarni erta aniqlash hamda muhandislik inshootlarining ekspluatatsion xavfsizligini ta’minlashda sun’iy intellekt texnologiyalarining ahamiyati asoslab berilgan.
References
AI in Structural Health Monitoring for Infrastructure Maintenance and Safety — maqola sun’iy intellektning inshoot monitoringiga ta’siri, diagnostika va bashoratlashni yoritadi. AI in Structural Health Monitoring for Infrastructure Maintenance and Safety (MDPI, 2024)
Enhancing GNSS Deformation Monitoring Forecasting with a Combined VMDCNNLSTM Model — GNSS vaqt qatorlari bashoratini chuqur o‘rganish algoritmlari yordamida yaxshilash haqida ilmiy ish. Enhancing GNSS Deformation Monitoring Forecasting… (MDPI)
Modelling and prediction of GNSS time series using machine learning — GNSS vaqt qatorlarini mashinaviy o‘rganish bilan model qilish va bashoratlash bo‘yicha muhim manba. Modelling and prediction of GNSS time series… (ResearchCollection)
GNSS Time Series Analysis with Machine Learning Algorithms — mashinaviy o‘rganish modellari yordamida GNSS ma’lumotlarini tahlil qilish va bashoratlash. GNSS Time Series Analysis with Machine Learning (MDPI)
Artificial Intelligence and Data Analytics for Structural Health Monitoring: A Review of Recent Developments — SI va ma’lumotlar tahlili SHM bo‘yicha so‘nggi rivojlanishlarni umumlashtiradi. AI and Data Analytics for SHM (ResearchGate, 2025)
Deep Learning for Time Series Forecasting: Review and Applications — chuqur o‘rganishni vaqt qatorlari bashoratiga qo‘llash bo‘yicha sharh. Deep Learning for Time Series Forecasting (ResearchGate, 2025)
Monitoring and Analysis of Geodesic Deformations using GIS — GNSS va InSAR kabi geodezik texnologiyalarni tahlil va bashoratlash uchun integratsiya qilish. Monitoring and Analysis of Geodesic Deformations using GIS (InnovateConferences, 2025)
Deep Learning CNNGRU Method for GNSS Deformation Monitoring Prediction — CNN va GRU metodologiyasi yordamida deformatsiya bashoratini takomillashtirish. Deep Learning CNNGRU Method for GNSS Prediction (Applied Sciences, 2024)
