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Sinan Q. Salih


College:- Engineering Technical College


Department :- ‏Medical Instruments techniques Engineering Department


Scientific :-


[email protected]


           
Academic Achievement
  • PhD
research interest

       

Latest published research
Designing an optimal PID controller for a PV-connected Zeta converter using genetic algorithm
Multi-population Black Hole Algorithm for the problem of data clustering
An optimized deep learning model for optical character recognition applications
Man-in-the-middle and denial of service attacks detection using machine learning algorithms
Grey Wolf Optimizer and Discrete Chaotic Map for Substitution Boxes Design and Optimization
Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction
GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network
Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting
A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer
Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting
A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction
Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation
Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model
Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model
Laundry wastewater treatment using a combination of sand filter, bio-char and teff straw media
An Enhanced Version of Black Hole Algorithm via Levy Flight for Optimization and Data Clustering Problems
Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation
Novel multi-swarm approach for balancing exploration and exploitation in particle swarm optimization
Pressure vessel design simulation: Implementing of multi-swarm particle swarm optimization
Shear strength of SFRCB without stirrups simulation: implementation of hybrid artificial intelligence model
A proactive fuzzy-guided link labeling algorithm based on MIH framework in heterogeneous wireless networks

Al-Bayan Faculty