Abstract The Global Cancer Statistics 2020 reported breast cancer (BC) as the most
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …

Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …

In this study, machine learning methods of artificial neural networks (ANNs), least squares
support vector machines (LSSVM), and neuro-fuzzy are used for advancing prediction …

Automatic text localization and segmentation in a normal environment with vertical or curved
texts are core elements of numerous tasks comprising the identification of vehicles and self …

Heart disease is one of the leading causes of human death and in the absence of an
accurate diagnosis, there are limitations to beat it. In this research, an automatic diagnostic …

Tetracyclines (TCs) have been extensively used for humans and animal diseases treatment
and livestock growth promotion. The consumption of such antibiotics has been ever-growing …

Determining the solubility of non-hydrocarbon gases such as carbon dioxide (CO2) and
nitrogen (N2) in water and brine is one of the most controversial challenges in the oil and …

This study focuses on the problem of predicting nitrogen oxide (NO x) concentration at the
inlet of selective catalytic reduction (SCR) reactors under variable load conditions of thermal …

Over the past few decades, solution of high amount of carbon dioxide in ionic liquids (ILs)
has been the object of extensive studies. It is believed that ILs can be applied to capture CO …

The current research deals with the MHD pulsating flow of two immiscible liquid layers with
joule heating and first-order chemical reaction. The channel is partitioned into two regions …