Introduction The main feature selection methods include filter, wrapper-based, and
embedded methods. Because of its characteristics, the wrapper method must include a …

Deep learning methods have shown remarkable performance in image denoising,
particularly when trained on large-scale paired datasets. However, acquiring such paired …

Breast cancer has replaced lung cancer as the most prevalent malignancy threatening
human health. Early breast screening can help improve treatment success and reduce the …

Due to the terrible manifestations of skin cancer, it seriously disturbs the quality of life status
and health of patients, so we needs treatment plans to detect it early and avoid it causing …

Image denoising methods using deep neural networks have achieved a great progress in
the image restoration. However, the recovered images restored by these deep denoising …

Urinary disease is a complex healthcare issue that continues to grow in prevalence. Urine
tests have proven valuable in identifying conditions such as kidney disease, urinary tract …

As science and technology advance, more engineering-type problems emerge. Technology
development has likewise led to an increase in the complexity of optimization problems, and …

Melanoma, which results from the cancerous transformation of melanocytes, is the most
dangerous skin cancer in the medical field. Today, image processing technology has been …

As a pre-processing step of computer vision applications, single image dehazing remains
challenging due to existing inefficiencies in the restoration of content and details. In this …

Harris hawks optimization (HHO) has been accepted as one of the well-established swarm-
based methods in the community of optimization and machine learning that primarily works …