255 citations
- University of Kurdistan HewlerIQ5 papers
- Charles Sturt UniversityAU2 papers
- Institut des Sciences et Technologies Moléculaires d'AngersFR2 papers
- 22q11 IrelandIE1 paper
- Beaumont HospitalIE1 paper
- Beaumont Hospital, DearbornUS1 paper
- Botsford HospitalUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- City UniversityBD1 paper
- Conway School of Landscape DesignUS1 paper
- Hawler Medical UniversityIQ1 paper
- St. James's HospitalIE1 paper
13 papers
An Improved FOX Optimization Algorithm Using Adaptive Exploration and Exploitation for Global Optimization
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and ex…
Artificial Liver Classifier: A New Alternative to Conventional Machine Learning Models
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
Supervised machine learning classifiers sometimes face challenges related to the performance, accuracy, or overfitting. This paper introduces the Artificial Liver Classifier (ALC),…
An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization
Abubakr Issa, Yossra Ali, Tarik Rashid
Feature selection can be defined as one of the pre-processing steps that decrease the dimensionality of a dataset by identifying the most significant attributes while also boosting…
Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction
Ashish Kumar, Abeer Alsadoon, P. W. C. Prasad +4
The prediction of stock price movement direction is significant in financial circles and academic. Stock price contains complex, incomplete, and fuzzy information which makes it an…
Modeling of Pan Evaporation Based on the Development of Machine Learning Methods
Mustafa Al-Mukhtar
For effective planning and management of water resources and implementation of the related strategies, it is important to ensure proper estimation of evaporation losses, especially…
A Novel Visualization System of Using Augmented Reality in Knee Replacement Surgery: Enhanced Bidirectional Maximum Correntropy Algorithm
Nitish Maharjan, Abeer Alsadoon, P. W. C. Prasad +2
Background and aim: Image registration and alignment are the main limitations of augmented reality-based knee replacement surgery. This research aims to decrease the registration e…