1 citations · 1 across the 1 of their papers we have counts for
3 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),…
FOXANN: A Method for Boosting Neural Network Performance
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid +1
Artificial neural networks play a crucial role in machine learning and there is a need to improve their performance. This paper presents FOXANN, a novel classification model that c…