Review of artificial intelligence and machine learning technologies: classification, restrictions, opportunities and challenges

RI Mukhamediev, Y Popova, Y Kuchin, E Zaitseva… - Mathematics, 2022 - mdpi.com
Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …

Operational mapping of salinization areas in agricultural fields using machine learning models based on low-altitude multispectral images

R Mukhamediev, Y Amirgaliyev, Y Kuchin, M Aubakirov… - Drones, 2023 - mdpi.com
Salinization of cultivated soil is an important negative factor that reduces crop yields.
Obtaining accurate and timely data on the salinity of soil horizons allows for planning the …

Application of machine learning methods to assess filtration properties of host rocks of uranium deposits in Kazakhstan

Y Kuchin, R Mukhamediev, N Yunicheva… - Applied Sciences, 2023 - mdpi.com
The uranium required for power plants is mainly extracted by two methods in roughly equal
amounts: quarries (underground and open pit) and in situ leaching (ISL). Uranium mining by …

[HTML][HTML] Classification of Logging Data Using Machine Learning Algorithms

R Mukhamediev, Y Kuchin, N Yunicheva… - Applied Sciences, 2024 - mdpi.com
A log data analysis plays an important role in the uranium mining process. Automating this
analysis using machine learning methods improves the results and reduces the influence of …

Soil Salinity Estimation for South Kazakhstan Based on SAR Sentinel-1 and Landsat-8, 9 OLI Data with Machine Learning Models

RI Mukhamediev, T Merembayev, Y Kuchin… - Remote Sensing, 2023 - mdpi.com
Climate change, uneven distribution of water resources and anthropogenic impact have led
to salinization and land degradation in the southern regions of Kazakhstan. Identification of …

Estimation of the Water Level in the Ili River from Sentinel-2 Optical Data Using Ensemble Machine Learning

RI Mukhamediev, A Terekhov, G Sagatdinova… - Remote Sensing, 2023 - mdpi.com
Monitoring of the water level and river discharge is an important task, necessary both for
assessment of water supply in the current season and for forecasting water consumption …

Determination of Reservoir Oxidation Zone Formation in Uranium Wells Using Ensemble Machine Learning Methods

RI Mukhamediev, Y Kuchin, Y Popova, N Yunicheva… - Mathematics, 2023 - mdpi.com
Approximately 50% of the world's uranium is mined in a closed way using underground well
leaching. In the process of uranium mining at formation-infiltration deposits, an important …

[PDF][PDF] Research into mine working fastening technology in the zones of increased rock pressure behind the longwall face to ensure safe mining operations.

V Demin, E Khalikova, M Rabatuly… - Mining of Mineral …, 2024 - mining.in.ua
Purpose. The research aims to substantiate the technological solutions to ensure the rock
mass stability through a rational approach to strengthening the zones of increased rock …

Comprehensive framework and classification of advanced artificial intelligence and machine learning modelling techniques

K Singh, A Kumar, NS Singha… - Artificial Intelligence and …, 2025 - taylorfrancis.com
The rapid advancement of artificial intelligence (AI) and machine learning (ML) has
transformed the technological innovation landscape, presenting incredible opportunities …

[HTML][HTML] ЭМУЛЯЦИЯ ПОКАЗАНИЙ ДАТЧИКОВ КАЧЕСТВА ВОЗДУХА В ГОРОДСКОЙ СРЕДЕ УМНОГО ГОРОДА

АС Еримбетова, РИ Мухамедиев… - Гидрометеорология …, 2024 - cyberleninka.ru
Загрязненность воздуха городской среды представляет собой серьезную угрозу
здоровью людей. Для ее контроля используются как отдельные датчики, так и системы …