Browsing by Author "Mayet, Abdulilah Mohammad"

Applying Data Mining and Artificial Intelligence Techniques for High Precision Measuring of the Two-Phase Flow's Characteristics Independent of the Pipe's Scale Layer

Efficient Implementation of Spontaneous Calcium Oscillations in the Central Nervous System on Reconfigurable Digital Boards

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

Introducing a Precise System for Determining Volume Percentages Independent of Scale Thickness and Type of Flow Regime

Investigation on the Wilson Neuronal Model: Optimized Approximation and Digital Multiplierless Implementation

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