SUN‘IY INTELLEKT YORDAMIDA SUV RESURSLARINI IFLOSLANISH DARAJASINI ANIQLASH MODELLARI
Main Article Content
Abstract:
Suv resurslarining ifloslanishi jahon miqyosida ekologik muammo sifatida dolzarb ahamiyatga ega. Ushbu maqolada sun’iy intellekt (SI) yordamida suvning ifloslanish darajasini aniqlash uchun qo’llaniladigan zamonaviy modellar va texnologiyalar ko’rib chiqiladi. Maqola turli xil SI usullarini, jumladan, mashinani o’ganish va chuqur o’rganish algoritmlarini, shuningdek, ularning suv sifatini nazorat qilishdagi samaradorligini baholaydi. Misollar orqali, SI asboblari va modellarining amaliy qo’llanilishi ko’rsatib beriladi, kelajakda ularni rivojlantirish istiqbollari muhokama qilinadi.
Article Details
How to Cite:
References:
Zhang Y., Wang Z. (2020). Artificial Intelligence in Water Quality Monitoring and Management. Water Research, 178, 115730.
Kumar A., Kumar S. (2021). Machine Learning Applications in Water Quality Assessment. Environmental Monitoring and Assessment, 193(5), 1-16.
Liu Y., Liu H. (2019). Deep Learning for Water Quality Prediction: A Case Study. Journal of Hydrology, 570, 374-385.
Хужакулов T.A. «Искусственный интеллект» учебный пособия. Ташкент 2019 г.
Khujakulov T.A. The problems of information and telecommunication technologies. In Proceedings of the Republican Scientific and Technical Conference, Tashkent, pp. 86-88.
Khujakulov T.A., Oteniyozov A., Holikov E. Problems of integrated water resources management. In Materials of the International Scientific and Practical Conference, pp. 190-191.
Yakubov M., Khujakulov T.A. Aral Sea. In Materials for the International Scientific and Practical Conference, pp. 188-190.
Kamble S. S., Gunasekaran, A., Sharma R. (2020). Sustainable Water Resource Management Using Artificial Intelligence. Sustainable Cities and Society, 54, 101870.
Bhattacharya P., Choudhury A. (2021). A Review on Water Quality Assessment Using Machine Learning Techniques. Journal of Water Process Engineering, 39, 101742.

