In this study, a hybrid model for prediction issues based on IT2FLS and Particle Swarm
Optimization (PSO) is proposed. The main contribution of this work is to discover the ideal …

Due to advances in Internet technology, credit card transactions are increasing faster than
ever before. This has led to a fraud problem that affects businesses, cooperating institutions …

Fire is a natural disaster that poses a profound existential threat to humanity. It has
traditionally been fought with conventional methods, which, unfortunately, are often fraught …

Cancer is one of the leading health problems, occurring in various organs and tissues of the
body, and its incidence is increasing worldwide. Lung cancer is one of the deadliest types of …

Raisin grain classification is crucial in the food industry for maintaining product quality.
Traditional classification techniques can be labor-intensive and time-consuming, presenting …

A thorough comparison of the many computer models created to reliably identify lung cancer
is explained via this research paper. Advanced Machine-learning algorithms are …

In this study, a method for predicting engine torque and emissions considering fuel
consumption and engine speed parameters is presented. An adaptive neuro-fuzzy inference …

Breast cancer (BC) is one of the most common cancers in women worldwide. Breast cancer
has become an important public health problem in today's society. Diagnosis and treatment …