Abstract Since December 2019, the COVID-19 outbreak has resulted in countless deaths
and has harmed all facets of human existence. COVID-19 has been designated an epidemic …

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

This chapter presents a comprehensive review of the utilization of deep learning (DL)
approaches to COVID-19 identification and lung segmentation. It also presents a review of …

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 …

Medical imaging refers to visualization techniques to provide valuable information about the
internal structures of the human body for clinical applications, diagnosis, treatment, and …

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 …

The purpose of this research work is to present a numerical study through artificial neural
networks (ANNs) to solve a SIQ-based COVID-19 mathematical model using the effects of …

The COVID-19 epidemic poses a worldwide threat that transcends provincial, philosophical,
spiritual, radical, social, and educational borders. By using a connected network, a …

The current research focuses on harnessing the computational power of neural networks,
notably the Levenberg-Marquardt backpropagation optimization algorithm (ANN-LMBOA), to …

Background and objective The impact of diet on COVID-19 patients has been a global
concern since the pandemic began. Choosing different types of food affects peoples' mental …