Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

Advanced K-Means clustering system for customer analytics and segmentation using machine learning. Includes RFM analysis, business insights, and actionable marketing strategies. - ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...

Abstract: Segmentation in digital images is a process to separate an object from a background so that the object can be processed for other purposes. Often also used in supporting technology related ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

Cluster 3 represents the most valuable customers with frequent and high-spending transactions. Cluster 0 consists of the least engaged customers, requiring re-engagement strategies. Clusters 1 and 4 ...

Abstract: Image segmentation is the crucial stage in image analysis since it represents the first step towards extracting important information from the image. In summary, this paper presents several ...