This review investigates how Deep Machine Learning (DML) has dealt with the Covid-19
epidemic and provides recommendations for future Covid-19 research. Despite the fact that …

Introduction: Large language models have demonstrated impressive capabilities, but
application to medicine remains unclear. We seek to evaluate the use of ChatGPT on the …

Human gene sequences are considered a primary source of comprehensive information
about different body conditions. A wide variety of diseases including cancer, heart issues …

Data classification has many approaches in data mining and machine learning. The artificial
neural network (ANN) is applied to classify the data that might belong to various domains …

Abstract The coronavirus disease 2019 (COVID-19) pandemic has been spreading quickly,
threatening the public health system. Consequently, positive COVID-19 cases must be …

Introduction Single-cell RNA sequencing (scRNA-seq) is a powerful tool for understanding
cellular heterogeneity and identifying cell types in virus-related research. However, direct …

With today's increasing data complexity, efficient feature extraction has become an integral
part of learning. In this spirit, we use features from a recently proposed brain-inspired …

Artificial neurons used in Artificial Neural Networks and Deep Learning architectures do not
mimic the chaotic behavior of biological neurons found in the brain. Recently, a chaos based …

From decimal expansion of real numbers to complex behaviour in physical, biological and
human-made systems, deterministic chaos is ubiquitous. One of the simplest examples of a …

Chaos presents complex dynamics arising from nonlinearity and a sensitivity to initial states.
These characteristics suggest a depth of expressivity that underscores their potential for …