Since their inception, biosensors have frequently employed simple regression models to
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …

Microwaves are non-ionizing electromagnetic radiation with waves of electrical and
magnetic energy transmitted at different frequencies. They are widely used in various …

Epilepsy is one of the chronic neurological disorders that is characterized by a sudden burst
of excess electricity in the brain. This abnormality appears as a seizure, the detection of …

Breast cancer is a leading cause of mortality among women. The patient's survival rate is
uncertain due to the limitations in the accuracy of diagnosis and effective monitoring during …

Although the high incidence and recurrence rates of urothelial cancer of the bladder (UCB)
are heavy burdens, a noninvasive tool for effectively detecting UCB as an alternative to …

In this study, designed an intelligent model for liver disorders based on Fuzzy Neural System
(FNS) models is considered. For this purpose, fuzzy system and neural networks (FNS) are …

BACKGROUND/AIMS In medicine, one of the most important applications of intelligent
systems is the fuzzy neural network (FNN) framework, which can be used in the diagnosis …

In this study, we propose a vision-based mouse controller capable of controlling objects from
a distant location via hand gestures. The proposed hybrid model constitutes hand detection …

This paper presents a Sign Language translation model using Convolutional Neural
Networks (CNN). A sign language is a language which allows mute and hearing-impaired …

This study presents a learning mode-base Fuzzy Neural Networks (FNN) to detect chronic
kidney disease (CKD). Combining the fuzzy set theory with the NN structure helps the …