Abstract Brain Computer Interface (BCI) is a highly promising human–computer interaction
method that can utilize brain signals to control external devices. BCI based on functional …

Images sent across internet platforms are frequently subject to modifications, including
simple alterations, such as compression, scaling, and filtering, which can mask possible …

Diabetic Retinopathy (DR) is considered the major cause of impaired vision for diabetic
patients, particularly in developing counties. Treatment includes maintaining the patient's …

Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature
extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning …

The issue of image captioning, which comprises automatic text generation to understand an
image's visual information, has become feasible with the developments in object recognition …

This study presents a novel Binary Object Detection Pattern Model (BODPM) to detect
objects with face key points and recognize them using the KERAS dataset. The proximity …

Abstract Several Deep Learning (DL) and medical image Machine Learning (ML) methods
have been investigated for efficient data representations of medical images, such as image …

Everyday interactions depend on more than just rational discourse; they also depend on
emotional reactions. Having this information is crucial to making any kind of practical or even …

Multi-level 3-phase inverters using cascaded H-bridges are becoming prominent in the
electric drive and renewable energy sectors due to their high capacity and ability to …

A smart grid is a modern electrical system that uses information technology, including
sensors, measurement tools and communication devices, to monitor and improve the …