N F Petrov
Biographic Data
| ID | 1832265 |
|---|---|
| NAME | N F Petrov |
| GIVEN NAMES | N F |
| FAMILY NAME | Petrov |
| SIGNATURE | PETROV N F |
| AFFILIATIONS | Institute of Geophysics |
| ORCID | 0000-0003-1312-4363 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Experience of Using Artifi cial Intelligence and Deep Machine Learning Methods in Archaeological Research in the Southern Trans-Urals
This article summarizes the current uses of the methods of artificial intelligence and deep machine learning in archaeological research from the recent publications by Russian and international research teams. The main application of convolutional neural networks in archaeology is the search for archaeological sites using cartographic data which were obtained by various methods and make it possible to construct 2D and 3D models of the present-day…
Unidentified artifacts and ornament production in the Late Bronze Age of the Southern Trans-Urals
Materials of archaeological excavations of the Bronze Age sites contain many items, the functions of which are quite difficult to determine. The subject of this study is a group of artifacts that, in our opinion, are related to the production of ornaments: ceramic saucers with signs, molds, cross-shaped pendants. A number of molds and ceramic saucers contain prints similar in form to cross-shaped pendants - the only type of molded ornaments in th…
Fortifi ed Settlement Andreevskoye. History of Functioning Based on the Results of Multidisciplinary Research
The Andreevskoye settlement (Bredinsky district of the Chelyabinsk Region, the left bank of the Sintashta River of the Tobolsk basin) belongs to a rare type of sites of the Trans-Ural Bronze Age with dense housing development, enclosed by a system of walls and ditches. Deciphering archival aerial photography, the use of low-depth geophysics (micromagnetic survey and ground penetrating radar), analysis of the microrelief, and test pits allowed us …
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Fortifi ed Settlement Andreevskoye. History of Functioning Based on the Results of Multidisciplinary Research
The Andreevskoye settlement (Bredinsky district of the Chelyabinsk Region, the left bank of the Sintashta River of the Tobolsk basin) belongs to a rare type of sites of the Trans-Ural Bronze Age with dense housing development, enclosed by a system of walls and ditches. Deciphering archival aerial photography, the use of low-depth geophysics (micromagnetic survey and ground penetrating radar), analysis of the microrelief, and test pits allowed us …
Experience of Using Artifi cial Intelligence and Deep Machine Learning Methods in Archaeological Research in the Southern Trans-Urals
This article summarizes the current uses of the methods of artificial intelligence and deep machine learning in archaeological research from the recent publications by Russian and international research teams. The main application of convolutional neural networks in archaeology is the search for archaeological sites using cartographic data which were obtained by various methods and make it possible to construct 2D and 3D models of the present-day…
Unidentified artifacts and ornament production in the Late Bronze Age of the Southern Trans-Urals
Materials of archaeological excavations of the Bronze Age sites contain many items, the functions of which are quite difficult to determine. The subject of this study is a group of artifacts that, in our opinion, are related to the production of ornaments: ceramic saucers with signs, molds, cross-shaped pendants. A number of molds and ceramic saucers contain prints similar in form to cross-shaped pendants - the only type of molded ornaments in th…
Archaeology and ancient environmental studies (3 works) · Bronze Age (3 works) · Archaeology (2 works) · Bronze (2 works) · Geography (2 works) · Ancient and Medieval Archaeology Studies (1 works) · Ancient history (1 works) · Archaeological Research and Protection (1 works) · Art (1 works) · Artificial neural network (1 works)