Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …

Measuring and evaluating source code similarity is a fundamental software engineering
activity that embraces a broad range of applications, including but not limited to code …

Rational Deep learning (DL) has demonstrated a remarkable performance in diagnostic
imaging for various diseases and modalities and therefore has a high potential to be used …

It is critical to establish a reliable method for detecting people infected with COVID‐19 since
the pandemic has numerous harmful consequences worldwide. If the patient is infected with …

Predicting DNA-binding proteins (DBPs) based solely on primary sequences is one of the
most challenging problems in genome annotation. DBPs play a crucial role in various …

The novel Coronavirus disease (COVID-19), which first appeared at the end of December
2019, continues to spread rapidly in most countries of the world. Respiratory infections occur …

Speaker recognition systems are widely used in various applications to identify a person by
their voice; however, the high degree of variability in speech signals makes this a …

Capsule network (CapsNet) is a novel concept demonstrating the importance of learning
spatial hierarchical relationship between features for the effective recognition of images …

Extraction of chemical formulas from images was not in the top priority of Computer Vision
tasks for a while. The complexity both on the input and prediction sides has made this task …

In recent years, the use of deep learning-based models for developing advanced healthcare
systems has been growing due to the results they can achieve. However, the majority of the …