This paper considers the efficiency of neural networks for human voice recognition. The objects of the study are artificial neural networks used for human voice recognition. Their ability to effectively recognize a human voice regardless of language, trained on a small number of speakers in noisy conditions, has been considered. The task being solved is to enhance ...

Geosynthetic reinforcement plays a crucial role in stabilizing subgrade layers and enhancing the bearing capacity of soil in construction projects. Despite notable advancements in soil reinforcement techniques, there remains a lack of comprehensive understanding regarding the interactions between various geosynthetic materials and different soil types. This study investigates the ...

Microalgae in planktonic communities are the main producers of biomass in lake ecosystems; however, their stability is influenced by many environmental factors. This study aims to assess the ecological state of Lake Maybalyk, located in Astana (Kazakhstan), based on the study of the taxonomic diversity and structure of phytoplankton, zooplankton, and the physico-chemical properties ...

This scientific article presents a block diagram of a two-channel radio direction finder that effectively uses the phase method to determine the direction of the signal source. The main attention is paid to the mathematical model of the formation of the cardioid radiation pattern of biconical antennas, which have unique directivity characteristics. These features ...

This study focused on predicting the spatial distribution of environmental risk indicators using mathematical modeling methods including machine learning. The northern industrial zone of Pavlodar City in Kazakhstan was used as a model territory for the case. Nine models based on the methods kNN, gradient boosting, artificial neural networks, Kriging, and multilevel ...

DFOS (distributed fiber-optic sensing) technology has shown the potential to increase the accuracy of measurement after years of development and experimenting in geoengineering monitoring. To better understand the development of DFOS technology and its contribution to geoengineering, an objective and data-driven review of the development process of DFOS technology in construction ...

The object of this study is the process of deorbiting the KazEOSat-1 spacecraft, which has completed its active service life in low Earth orbit. The main problem is the lack of an effective technique to deorbit KazEOSat-1, taking into account its technical characteristics, orbital parameters, and the need to minimize risks to the environment and other objects in orbit. As ...

The growing intricacy of IT education requires resources to aid students in choosing specialized pathways. This study investigates the prediction of specialization preferences among IT students at SDU University in Kazakhstan through the application of machine learning techniques. The research contribution is the development of a predictive model that enhances academic ...

The development of the tourism sector faces serious challenges, which are related to its environmental transformation, digitalization, and integration of new technologies, as well as competitiveness. Tourists' behavior is also changing. The future demand for tourism is likely to be driven by growing environmental awareness, increased use of digital services and new technologies, ...

There is a need for an effective monitoring solution for water quality control in tailings dumps and adjacent water bodies in order to prevent environmental pollution. This article highlights the importance of water quality monitoring and surveillance to prevent pollution. It is proposed to develop a mobile robotic complex equipped with sensors for monitoring water bodies ...