This study introduces the first-ever self-explanatory interface for diagnosing diabetes
patients using machine learning. We propose four classification models (Decision Tree (DT) …

In this study, the main objective is to develop an algorithm capable of identifying and
delineating tumor regions in breast ultrasound (BUS) and mammographic images. The …

(1) This study aims to predict the youth customers' defection in retail banking. The sample
comprised 602 young adult bank customers.(2) The study applied Machine learning …

Purpose In India, one of the prime focuses of a post-graduate management program is to
prepare students and make them job-ready. Masters in Business Management (MBA) …

Nowadays, transmitting and receiving data with high speed and a high level of security are
the main demands. So, a new model of spectral amplitude coding optical code division …

Cardiovascular diseases (CVDs) are the leading cause of death globally. Detecting this kind
of disease represents the principal concern of many scientists, and techniques belonging to …

The reported work aims to improve the performance of LSTM-based (Long Short-Term
Memory) forecasting algorithms in cases of NARX (Nonlinear Autoregressive with …

Early diagnosis of diabetes can increase patients' quality of life and improve treatment
processes. In this context, this article focuses on the early diagnosis and prediction of …

In the era of information overload on online platforms, efficient access to news content has
become crucial for individuals leading busy lives. This paper addresses the need for …