Feature selection is a very important direction for network intrusion detection. However,
current feature selection technology of network intrusion detection has the problems of low …

Due to the operation of modern industrial equipment under high pressure, high speed and
high load conditions, cracks inevitably appear on the surfaces of metal components. Crack …

Breast cancer (BC) biomarkers can radically improve the early detection in patients and, as
a result, reduce mortality rate, whether for detecting individuals at increased risk of …

Accurate segmentation of infrared thermal images is a challenging issue in the breast
cancer detection. This paper presents and evaluates novel segmentation method for breast …

There is a life after breast cancer. The prerequisite is early detection. Breast cancer is
curable when detected early, tiny, and has not spread–regular screening aids in early …

Taking inspiration from the brain, spiking neural networks (SNNs) have been proposed to
understand and diminish the gap between machine learning and neuromorphic computing …

Diagnosing benign and malignant glands in thyroid ultrasound images is considered a
challenging issue. Recently, deep learning techniques have significantly resulted in …

In the field of medicine, there is a need to filter data to find information that is relevant for
specific research problems. However, in the realm of scientific study, the process of selecting …

There have been many attempts made to classify breast cancer data, since this classification
is critical in a wide variety of applications related to the detection of anomalies, failures, and …

The rapid identification and categorisation of breast cancers using low-contrast MRI images
presents a significant challenge due to the disease's prevalence among women of all ages …