Multiclass feature selection with metaheuristic optimization algorithms: a review حسب Abu Zitar, Raed

"…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
احصل على النص الكامل

Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... حسب Mohamed, AlShuweihi

احصل على النص الكامل

Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine حسب Debendra Muduli (20748758)

"…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …"

An optimization approach to increasing sustainability and enhancing resilience against environmental constraints in LNG supply chains: A Qatar case study حسب Sara Al-Haidous (18095368)

"…The developed model, which is implemented using the Binary Particle Swarm Optimization algorithm subjected to economic and environmental objectives within an overarching strategic aim for sustainability and resilience. …"

A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns حسب Md Ferdous Wahid (13485799)

"…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"

Learning-Based Automatic Modulation Classification حسب Abdelmutalab, Ameen Elsiddig

احصل على النص الكامل

A method for data path synthesis using neural networks حسب Harmanani, H.

"…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes حسب Muhammad Mohsin Khan (22150360)

"…We evaluated thirteen machine learning models at each stage, selecting the top-performing classifiers to optimize results. …"