Mathematical Models for the Design of GRID Systems to Solve Resource-Intensive Problems
Artificial neural networks are successfully used to solve a wide variety of scientific and
technical problems. The purpose of the study is to increase the efficiency of distributed …
technical problems. The purpose of the study is to increase the efficiency of distributed …
Using machine learning techniques to simulate network intrusion detection
V Kukartsev, K Kravtsov, O Stefanenko… - 2024 International …, 2024 - ieeexplore.ieee.org
This article explores the application of machine learning methods for modeling intrusion
detection systems. We present the research findings, including the construction of a model …
detection systems. We present the research findings, including the construction of a model …
Machine Learning for Predicting and Optimizing Physicochemical Properties of Deep Eutectic Solvents: Review and Perspectives
This review explores the application of machine learning in predicting and optimizing the
key physicochemical properties of deep eutectic solvents, including CO2 solubility, density …
key physicochemical properties of deep eutectic solvents, including CO2 solubility, density …
Deep learning model for precise prediction and design of low-melting point phthalonitrile monomers
R Lu, Y Han, J Hu, D Xu, Z Zhong, H Zhou… - Chemical Engineering …, 2024 - Elsevier
Phthalonitrile is a widely applied resin due to its outstanding high-temperature resistance
and versatility. However, the high melting point of its monomer limits its range of …
and versatility. However, the high melting point of its monomer limits its range of …
Predicting Diffusion Coefficients in Nafion Membranes during the Soaking Process Using a Machine Learning Approach
Nafion, a versatile polymer used in electrochemistry and membrane technologies, exhibits
complex behaviors in saline environments. This study explores Nafion membrane's IR …
complex behaviors in saline environments. This study explores Nafion membrane's IR …
[HTML][HTML] Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR)
This work is devoted to the investigation of dielectric permittivity which is influenced by
electronic, ionic, and dipolar polarization mechanisms, contributing to the material's capacity …
electronic, ionic, and dipolar polarization mechanisms, contributing to the material's capacity …
ML-based Forecasting of Temporal Dynamics in Luminescence Spectra of Ag2S Colloidal Quantum Dots
The study delves into the temporal dynamics of luminescence in colloidal quantum dots,
utilizing time series forecasting techniques. Through an analysis of intensity measurements …
utilizing time series forecasting techniques. Through an analysis of intensity measurements …
Predictive modelling of post-monsoon groundwater quality in Telangana using machine learning techniques
J Olentsova, V Kukartsev, V Orlov… - BIO Web of …, 2024 - bio-conferences.org
Groundwater quality is vital for public health, agriculture, and industry, especially in regions
like Telangana, India. This study analyses and predicts post-monsoon 2020 groundwater …
like Telangana, India. This study analyses and predicts post-monsoon 2020 groundwater …
Designing a system of step-by-step quality control
R Alena, K Vladislav, G Anna, P Ivan… - … Conference on Smart …, 2024 - ieeexplore.ieee.org
In this article we will consider the main aspects of designing a system of step-by-step quality
control of the husking machine in the shop of veneer production and its impact on improving …
control of the husking machine in the shop of veneer production and its impact on improving …
Machine learning approaches for water potability prediction: Addressing class imbalance with SMOTE
E Stepanova, V Orlov, V Kukartsev… - BIO Web of …, 2024 - bio-conferences.org
Ensuring access to safe drinking water is a fundamental public health priority. Traditional
methods for assessing water quality are laborintensive and require specialized equipment …
methods for assessing water quality are laborintensive and require specialized equipment …