Breast cancer is a very severe type of cancer that often develops in breast cells. Attempting
to develop an effective predictive model for breast cancer prognosis prediction is urgently …

Breast cancer is a serious threat to public health around the world. Breast cancer diagnosis
and categorization are critical for efficient therapy and a higher likelihood of cure. The …

Large numbers of job postings with complex content can be found on the Internet at present.
Therefore, analysis through natural language processing and machine learning techniques …

Developed intelligent technologies are become play a promising role in providing better
decision-making and improving the medical services provided to the patients. A risk …

Graph clustering is a powerful technique used to identify and group similar nodes within a
complex network structure. This procedure involves segmenting the graph into distinct …

This thesis explores the possibility of identifying risk behaviour patterns among forklift drivers
through the analysis of telemetry data using unsupervised clustering algorithms. The …

The BIRCH method is efficient in handling large data. However, the determination of the
Radius (R) parameter, which is useful for determining the maximum radius of the cluster …