Sinan Q. Salih

Orcid: 0000-0003-0717-7506

According to our database1, Sinan Q. Salih authored at least 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

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Bibliography

2024
Development of optimized machine learning models for predicting flat plate solar collectors thermal efficiency associated with Al2O3-water nanofluids.
Eng. Appl. Artif. Intell., 2024

2023
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image.
CoRR, 2023

Grey Wolf Optimizer and Discrete Chaotic Map for Substitution Boxes Design and Optimization.
IEEE Access, 2023

Sentiment Analysis Based on Hybrid Neural Network Techniques Using Binary Coordinate Ascent Algorithm.
IEEE Access, 2023

Utilizing Deep Learning Technique for Arabic Image Captioning.
Proceedings of the Advances in Intelligent Computing Techniques and Applications, 2023

2022
Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction.
Neural Comput. Appl., 2022

Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction.
Complex., 2022

2021
GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network.
Complex., 2021

Developing Chaotic Artificial Ecosystem-Based Optimization Algorithm for Combined Economic Emission Dispatch.
IEEE Access, 2021

2020
TrustData: Trustworthy and Secured Data Collection for Event Detection in Industrial Cyber-Physical System.
IEEE Trans. Ind. Informatics, 2020

A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer.
Neural Comput. Appl., 2020

DependData: Data collection dependability through three-layer decision-making in BSNs for healthcare monitoring.
Inf. Fusion, 2020

Shear strength of SFRCB without stirrups simulation: implementation of hybrid artificial intelligence model.
Eng. Comput., 2020

An evolutionary optimized artificial intelligence model for modeling scouring depth of submerged weir.
Eng. Appl. Artif. Intell., 2020

Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting.
Complex., 2020

Internet of things assisted condition-based support for smart manufacturing industry using learning technique.
Comput. Intell., 2020

Modeling wetted areas of moisture bulb for drip irrigation systems: An enhanced empirical model and artificial neural network.
Comput. Electron. Agric., 2020

A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction.
IEEE Access, 2020

Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model.
IEEE Access, 2020

Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model.
IEEE Access, 2020

The Capacity of the Hybridizing Wavelet Transformation Approach With Data-Driven Models for Modeling Monthly-Scale Streamflow.
IEEE Access, 2020

Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation.
IEEE Access, 2020

2019
Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region.
IEEE Access, 2019

Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation.
IEEE Access, 2019

An Enhanced Version of Black Hole Algorithm via Levy Flight for Optimization and Data Clustering Problems.
IEEE Access, 2019

Pressure Vessel Design Simulation: Implementing of Multi-Swarm Particle Swarm Optimization.
Proceedings of the 8th International Conference on Software and Computer Applications, 2019


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