Výsledky vyhledávání - "A. A. Davletshin"

Akademický článek

Sensitivity to Initial Data Errors in Interpreting Temperature Logging of an Isolated Injection Well Segment

Autor: K. A. Potashev, D. R. Salimyanova, A. B. Mazo, A. A. Davletshin, A. V. Kosterin

Publikováno v: Учёные записки Казанского университета. Серия Физико-математические науки, Vol 166, Iss 2, Pp 238-249 (2024)

This study considers the inverse problems inherent in interpreting temperature logging data from an isolated segment of the injection well in order to ascertain its operating period and the thermophysical properties of the oil reservoir.The forward p

Externí odkaz: https://doaj.org/article/0f7ef221f77d4e5cb26c8996c0b56341

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CognitiveOS: Large Multimodal Model based System to Endow Any Type of Robot with Generative AI

Autor: Lykov, Artem, Konenkov, Mikhail, Gbagbe, Koffivi Fidèle, Litvinov, Mikhail, Davletshin, Denis, Fedoseev, Aleksey, Cabrera, Miguel Altamirano, Peter, Robinroy, Tsetserukou, Dzmitry

This paper introduces CognitiveOS, the first operating system designed for cognitive robots capable of functioning across diverse robotic platforms. CognitiveOS is structured as a multi-agent system comprising modules built upon a transformer archite

Externí odkaz: http://arxiv.org/abs/2401.16205

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NeuroSwarm: Multi-Agent Neural 3D Scene Reconstruction and Segmentation with UAV for Optimal Navigation of Quadruped Robot

Autor: Zhura, Iana, Davletshin, Denis, Mudalige, Nipun Dhananjaya Weerakkodi, Fedoseev, Aleksey, Peter, Robinroy, Tsetserukou, Dzmitry

Quadruped robots have the distinct ability to adapt their body and step height to navigate through cluttered environments. Nonetheless, for these robots to utilize their full potential in real-world scenarios, they require awareness of their environm

Externí odkaz: http://arxiv.org/abs/2308.01725

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Family of Two Dimensional Transition Metal Dichlorides Fundamental Properties, Structural Defects, and Environmental Stability

Autor: Kistanov, Andrey A., Shcherbinin, Stepan A., Botella, Romain, Davletshin, Artur, Cao, Wei

A large number of novel two-dimensional (2D) materials are constantly discovered and deposed into the databases. Consolidate implementation of machine learning algorithms and density functional theory (DFT) based predictions have allowed creating sev

Externí odkaz: http://arxiv.org/abs/2205.00874

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