Viktoria Dzaparova
Biographic Data
| ID | 9425174 |
|---|---|
| NAME | Viktoria Dzaparova |
| GIVEN NAMES | Viktoria |
| FAMILY NAME | Dzaparova |
| SIGNATURE | DZAPAROVA V |
| AFFILIATIONS | North-Caucasian Mining and Metallurgical Institute |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Predicting the characteristics of sele flows using machine learning
Mudflows are among the most hazardous natural phenomena in mountainous regions, causing significant damage to infrastructure and settlements. Their prediction is traditionally challenging due to the fragmented, incomplete, and heterogeneous nature of source data, which limits the applicability of classical statistical methods. Purpose of the research. To develop and test a set of machine learning models for predicting mudflow characteristics and …
Ecological aspect of sustainable development of high-mountain regions in the conditions of innovative economy formation
Sustainable development of high-mountain regions is one of the key tasks of the modern world in the context of growing environmental problems and the need to transition to an innovative economy. High-mountain regions, such as the territories of the North Caucasus Federal District (NCFD), are characterized by unique natural conditions, but at the same time they face many environmental challenges associated with active economic activity, climate ch…
Estimated level comfort determination of public transport movement in mountainous areas
Introduction. Assessing the transit quality of service is more complex than assessing the performance of a street and road network due to the consideration of a large number of actors such as carriers, passengers and vehicles. And also the need to take into account a large number of factors in the form of accessibility, reliability of operation, and others. Ways to create a reliable and efficient system of transit should take into account both ac…
No prominent works on this page.
Ecological aspect of sustainable development of high-mountain regions in the conditions of innovative economy formation
Sustainable development of high-mountain regions is one of the key tasks of the modern world in the context of growing environmental problems and the need to transition to an innovative economy. High-mountain regions, such as the territories of the North Caucasus Federal District (NCFD), are characterized by unique natural conditions, but at the same time they face many environmental challenges associated with active economic activity, climate ch…
Estimated level comfort determination of public transport movement in mountainous areas
Introduction. Assessing the transit quality of service is more complex than assessing the performance of a street and road network due to the consideration of a large number of actors such as carriers, passengers and vehicles. And also the need to take into account a large number of factors in the form of accessibility, reliability of operation, and others. Ways to create a reliable and efficient system of transit should take into account both ac…
Predicting the characteristics of sele flows using machine learning
Mudflows are among the most hazardous natural phenomena in mountainous regions, causing significant damage to infrastructure and settlements. Their prediction is traditionally challenging due to the fragmented, incomplete, and heterogeneous nature of source data, which limits the applicability of classical statistical methods. Purpose of the research. To develop and test a set of machine learning models for predicting mudflow characteristics and …
Environmental Science (2 works) · Geography (2 works) · Aesthetics (1 work) · Arctic and Russian Policy Studies (1 work) · Art (1 work) · Biology (1 work) · Climate change and permafrost (1 work) · Cluster analysis (1 work) · Data set (1 work) · Debris flow (1 work)