Optimization problems can be seen in numerous fields of practical studies. One area making
waves in the application of optimization methods is data mining in machine learning. An …

Support vector machine (SVM) is a widely used and effective classifier. Its efficiency and
accuracy mainly depend on the exceptional feature subset and optimal parameters. In this …

Particle swarm optimization (PSO) as a swarm intelligence-based optimization algorithm has
been widely applied to solve various real-world optimization problems. However, traditional …

Though several AI-based models have been established for COVID-19 diagnosis, the
machine-based diagnostic gap is still ongoing, making further efforts to combat this epidemic …

Chronic Diseases have spread speedily over the last one and a half decades; these life-
threatening chronic diseases have a significantly higher rate of morbidity and fatality. Illness …

Reviews, ratings, and texts that customers have made online on items they have purchased
online. These assessments assist business owners to assess their strengths and flaws and …

Social media now plays an important role is sharing the views or comments about a topic.
These comments are available to the users for their processing and future decision making …

Recently, researchers have become increasingly curious about using machine learning
algorithms to solve complex real-world problems. Machine learning algorithms can be …

This paper proposes an improved binary sparrow search algorithm (IBSSA) as a search
strategy within the feature selection (FS) methods. Its main objective is to use clinical texts to …

The extraction of features from unstructured clinical data of Covid-19 patients is critical for
guiding clinical decision-making and diagnosing this viral disease. Furthermore, an early …