Nikita Beskopylny

发表

Comparison of the efficiency of neural network algorithms in recognition and classification problems

A. Beskopylny, E. Kadomtseva, A. Lyapin, 2020, E3S Web of Conferences.

Modeling and Experimental Veriﬁcation of the Performance of Polymer Composite Reinforcing Bars of Different Types in Concrete of Different Density

V. Varavka, A. Beskopylny, B. Meskhi, 2022 .

Theoretical and Experimental Substantiation of the Efficiency of Combined-Reinforced Glass Fiber Polymer Composite Concrete Elements in Bending

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Polymers.

Numerical Simulation of the Bearing Capacity of Variotropic Short Concrete Beams Reinforced with Polymer Composite Reinforcing Bars

A. Beskopylny, B. Meskhi, A. Chernil’nik, 2022, Polymers.

Enhanced Performance of Concrete Dispersedly Reinforced with Sisal Fibers

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Applied Sciences.

Influence of Electromagnetic Activation of Cement Paste and Nano-Modification by Rice Straw Biochar on the Structure and Characteristics of Concrete

V. Varavka, A. Beskopylny, B. Meskhi, 2022, Journal of Composites Science.

Nanomodified Concrete with Enhanced Characteristics Based on River Snail Shell Powder

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Applied Sciences.

The Investigation of Compacting Cement Systems for Studying the Fundamental Process of Cement Gel Formation

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Gels.

Enhanced Eco-Friendly Concrete Nano-Change with Eggshell Powder

V. Varavka, A. Beskopylny, B. Meskhi, 2022, Applied Sciences.

Nano-Modified Vibrocentrifuged Concrete with Granulated Blast Slag: The Relationship between Mechanical Properties and Micro-Structural Analysis

V. Varavka, A. Beskopylny, B. Meskhi, 2022, Materials.

A Study on the Cement Gel Formation Process during the Creation of Nanomodified High-Performance Concrete Based on Nanosilica

V. Varavka, A. Beskopylny, B. Meskhi, 2022, Gels.

Development of High-Tech Self-Compacting Concrete Mixtures Based on Nano-Modifiers of Various Types

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Materials.

Insulation Foam Concrete Nanomodified with Microsilica and Reinforced with Polypropylene Fiber for the Improvement of Characteristics

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Polymers.

Influence of the Chemical Activation of Aggregates on the Properties of Lightweight Vibro-Centrifuged Fiber-Reinforced Concrete

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Journal of Composites Science.

Influence of Recipe Factors on the Structure and Properties of Non-Autoclaved Aerated Concrete of Increased Strength

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Applied Sciences.

Mathematical Modeling and Experimental Substantiation of the Gas Release Process in the Production of Non-Autoclaved Aerated Concrete

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Materials.

High-Performance Concrete Nanomodified with Recycled Rice Straw Biochar

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Applied Sciences.

Prediction of Mechanical Properties of Highly Functional Lightweight Fiber-Reinforced Concrete Based on Deep Neural Network and Ensemble Regression Trees Methods

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2022, Materials.

Detecting Cracks in Aerated Concrete Samples Using a Convolutional Neural Network

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2023, Applied Sciences.

Discovery and Classification of Defects on Facing Brick Specimens Using a Convolutional Neural Network

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2023, Applied Sciences.

Concrete Strength Prediction Using Machine Learning Methods CatBoost, k-Nearest Neighbors, Support Vector Regression

A. Beskopylny, B. Meskhi, A. Chernil’nik, 2022, Applied Sciences.

Quality Control of Frame Structures of Robotic Systems by Express Nondestructive Methods

Besarion Meskhi, Alexey Beskopylny, Nikita Beskopylny, 2021, Smart Innovation, Systems and Technologies.

Method for Concrete Structure Analysis by Microscopy of Hardened Cement Paste and Crack Segmentation Using a Convolutional Neural Network

A. Beskopylny, B. Meskhi, Nikita Beskopylny, 2023, Journal of Composites Science.

Prediction of the Compressive Strength of Vibrocentrifuged Concrete Using Machine Learning Methods

A. Beskopylny, B. Meskhi, A. Chernil’nik, 2024, Buildings.