The domain of Machine learning has experienced Substantial advancement and
development. Recently, showcasing a Broad spectrum of uses like Computational …

Cancer remains a substantial worldwide health issue that requires careful and exact
classification to plan treatment in its early stages. Classical methods of cancer diagnosis …

The early detection and classification of lung cancer is crucial for improving a patient's
outcome. However, the traditional classification methods are based on single machine …

Lung cancer is the most common cause of cancer deaths worldwide. Early detection is
crucial for successful treatment and increasing patient survival rates. Artificial intelligence …

Abstract Computer-Aided Diagnosis is a safe diagnostic procedure that uses CT scan
images for the early detection of lung cancer. The quality of the CT scan images can be …

Lung cancer causes millions of deaths annually, and CT scans and lung X-rays are common
diagnostic tools. However, large datasets can contain noisy and irrelevant features that can …

Lung cancer is a leading deadly form of the illness that is the cause of one million deaths
around the world every year. Identification of lung nodules on chest computed tomography …

Due to the increase in pollution, the number of deaths caused by lung disease is rising
rapidly. It is essential to predict the disease in earlier stages by means of high-level …

Assessment and prediction of land use/land cover change using spatiotemporal data are of
great importance for better environmental monitoring, land use planning, and management …

Accuracy assessments are important steps of classifications and get higher relevance with
the soar of machine and deep learning techniques. We provided a method for quick model …