I. Narozhnyy

Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer Thickness

Abdullah K. Alanazi, S. M. Alizadeh, Ehsan Nazemi, 2022, Applied Sciences.

Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems

S. M. Alizadeh, R. Hanus, Ehsan Nazemi, 2022, Energies.

Application of Neural Network and Dual-Energy Radiation-Based Detection Techniques to Measure Scale Layer Thickness in Oil Pipelines Containing a Stratified Regime of Three-Phase Flow

H. H. Alhashim, A. Mayet, I. Narozhnyy, 2022, Mathematics.

Proposing a High-Precision Petroleum Pipeline Monitoring System for Identifying the Type and Amount of Oil Products Using Extraction of Frequency Characteristics and a MLP Neural Network

I. Indrupskiy, H. H. Alhashim, Ehsan Nazemi, 2022, Mathematics.