Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …

This paper investigated the use of language models and deep learning techniques for
automating disease prediction from symptoms. Specifically, we explored the use of two …

Hepatocellular carcinoma (HCC) is a form of liver cancer that is widespread in Europe,
Africa, and Asia. The early identification of HCC is critical in improving the likelihood of …

Prediction and classification of diseases are essential in medical science, as it attempts to
immune the spread of the disease and discover the infected regions from the early stages …

Plant diseases have a significant impact on leaves, with each disease exhibiting specific
spots characterized by unique colors and locations. Therefore, it is crucial to develop a …

Parkinson's disease (PD) has become widespread these days all over the world. PD affects
the nervous system of the human and also affects a lot of human body parts that are …

The k-nearest neighbors (KNN) algorithm has been widely used for classification analysis in
machine learning. However, it suffers from noise samples that reduce its classification ability …

The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide.
This gynecological carcinoma causes many deaths, even though it can be treated by …

Recently, the scientific community has become more interested in solar-driven steam
materials and systems for desalination and disinfection. Solar thermal energy for membrane …