In medicine, particularly in radiology, there are great expectations in artificial intelligence
(AI), which can “see” more than human radiologists in regard to, for example, tumor size …

Computer-aided diagnosis systems have been developed to assist doctors in diagnosing
thyroid nodules to reduce errors made by traditional diagnosis methods, which are mainly …

Designing chaotic systems with specific features is a hot topic in nonlinear dynamics. In this
study, a novel chaotic system is presented with a unique feature of crossing inside and …

COVID-19 is a pandemic disease, which massively affected human lives in more than 200
countries. Caused by the coronavirus SARS-CoV-2, this acute respiratory illness affects the …

To decrease contamination from a mixed combination of impulse and Gaussian noise on
color digital images, a novel hybrid filter is proposed. The new technique is composed of two …

Computers have been shown to be valuable in every facet of human life, from banking and
online shopping to communication, education, research and development, and even …

Globally, crop insect pests lead to 10–40% yield loss. However, crop insect pest detection
and mitigation remain an extremely challenging task for the farmers, due to several factors …

Machine learning techniques are proven as a vital tool for the diagnosis and treatment of
disease. The researchers are actively exploring new technology that may strengthen the …

We propose a modality invariant method to obtain high quality semantic object segmentation
of human body parts, for four imaging modalities which consist of visible images, X-ray …

Insect pests cause significant damage to food production, so early detection and efficient
mitigation strategies are crucial. There is a continual shift toward machine learning (ML) …