Intelligent algorithms to assist in making water quality decisions based on artificial intelligence models

Назаров, Ф., Салимова, М., Шукуров, Б.

Рақамли технологияларнинг назарий ва амалий масалалари · 2026-yil

Annotatsiya

This article examines methods of analyzing water composition and the possibilities of using modern technologies. The study compared traditional physical, chemical, and biological methods of water quality assessment, as well as measurements performed using sensor technologies. The possibility of quickly and accurately determining water parameters using devices such as the Exo2 sonde and TDS sensor was considered. In addition, it was shown that artificial intelligence-based algorithms can classify water samples in water quality assessment and analysis, evaluate them according to different parameters, and group them into categories. The application of Decision Tree, Random Forest, and SVM models was also analyzed. The results of the study examined the possibilities of using water monitoring systems as an effective tool that increases efficiency and accuracy.

Maqola ma’lumotlari
MualliflarНазаров, Ф., Салимова, М., Шукуров, Б.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2026-05-15
Jild9
Son2
Betlar54-63
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v9i2.376
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v9i2.376 · Maqolaning asl sahifasi

Kalit so‘zlar

WQI, сенсорные технологии, искусственный интеллект, машинное обучение, decision tree, random forest, SVM, min-max scaling, алгоритм SMOTE, WQI, sensor technology, artificial intelligence, machine learning, decision tree, random forest, SVM, min-max scaling, SMOTE algorithm

Ilmiy soha

Texnika

Iqtibos keltirish

APAНазаров, Ф., Салимова, М., & Шукуров, Б. (2026). Intelligent algorithms to assist in making water quality decisions based on artificial intelligence models. Рақамли технологияларнинг назарий ва амалий масалалари, 9(2), 54-63. https://doi.org/10.62132/ijdt.v9i2.376
GOST (OAK)Назаров, Ф., Салимова, М., Шукуров, Б. Intelligent algorithms to assist in making water quality decisions based on artificial intelligence models // Рақамли технологияларнинг назарий ва амалий масалалари. – 2026. – T. 9, № 2. – P. 54-63. – DOI: 10.62132/ijdt.v9i2.376.
MLAНазаров, Ф., Салимова, М., and Шукуров, Б. “Intelligent algorithms to assist in making water quality decisions based on artificial intelligence models.” Рақамли технологияларнинг назарий ва амалий масалалари, 9(2), 54-63, 2026. https://doi.org/10.62132/ijdt.v9i2.376
ChicagoНазаров, Ф., Салимова, М., and Шукуров, Б. “Intelligent algorithms to assist in making water quality decisions based on artificial intelligence models.” Рақамли технологияларнинг назарий ва амалий масалалари, 9(2), 54-63 (2026). https://doi.org/10.62132/ijdt.v9i2.376
HarvardНазаров, Ф., Салимова, М., and Шукуров, Б (2026) ‘Intelligent algorithms to assist in making water quality decisions based on artificial intelligence models’, Рақамли технологияларнинг назарий ва амалий масалалари, 9(2), 54-63. https://doi.org/10.62132/ijdt.v9i2.376
BibTeX
@article{article2026,
  title = {Intelligent algorithms to assist in making water quality decisions based on artificial intelligence models},
  author = {Назаров, Ф. and Салимова, М. and Шукуров, Б.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2026},
  volume = {9},
  number = {2},
  pages = {54-63},
  doi = {10.62132/ijdt.v9i2.376},
  url = {https://doi.org/10.62132/ijdt.v9i2.376}
}

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