The integration of artificial intelligence technologies has propelled the progress of clinical
and genomic medicine in recent years. The significant increase in computing power has …

In recent decades, human brain tumor detection has become one of the most challenging
issues in medical science. In this paper, we propose a model that includes the template …

One way to understand the Parkinson's disease (PD) population is to investigate the
similarities and differences among patients through cluster analysis, which may lead to …

Disaster caused by both nature and human factors has resulted in the occurrence of human
casualties, environmental damage, property loss, and psychological impact. The study aims …

Intisari–Persaingan yang ketat di bidang bisnis memotivasi sebuah usaha kecil dan
menengah (UKM) untuk mengelola pelayanan terhadap konsumen tetap (pelanggan) …

Fuzzy C-mean (FCM) is an algorithm for data segmentation and classification, robust and
very popular within the scientific community. It is used in several fields such as computer …

Clustering is a process of keeping similar data into groups. Clustering is an unsupervised
learning technique as every other problem of this kind; it deals with finding a structure in a …

Abstract Fuzzy C-Means (FCM) plays a major role in brain tissue segmentation. The
proposed method aims to implements rapid brain tissue segmentation from MRI human …

This study explores whether financial literacy can enhance the ability to predict credit default
by farmers using machine-learning models. It introduces a hybrid model combining k-means …

Fire blight (Erwinia amylovora), a potentially devastating disease in apple, can cause floral,
fruit and structural damage and even tree death. Most commercial apple cultivars are …