Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

Background: Feature extraction is a key issue in designing a computer aided diagnosis
system. Recent researches on breast cancer diagnosis have reported the effectiveness of …

Plant diseases are a major threat to the productivity of crops, which affects food security and
reduces the profit of farmers. Identifying the diseases in plants is the key to avoiding losses …

The nature of clinical data makes it difficult to quickly select, tune and apply machine
learning algorithms to clinical prognosis. As a result, a lot of time is spent searching for the …

Breast cancer is a serious disease for women in the world and ranks the second cancer for
women in many countries. Computer-aided diagnosis provides a second view to aid for …

The early detection and timely treatment of breast cancer can save lives. Mammography is
one of the most efficient approaches to screening early breast cancer. An automatic …

Breast cancer is one of the most common forms of cancer in women worldwide. Most cases
of breast cancer can be prevented through screening programs aimed at detecting abnormal …

In this study, we discussed three DDoS attack classification methods based on machine
learning. The comparison is done to measure the accuracy rate of each machine learning …

Breast cancer is the most common malignant disease in women, and early screening of
breast cancer is crucial for improving the survival rate. Mammography is one of the most …

A lot of time is spent searching for the most performing data mining algorithms applied in
clinical diagnosis. The study set out to identify the most performing predictive data mining …