This study proposes a standardized framework for early prediction of gastrointestinal disease diseases leveraging advanc...
Detecting small or low-visibility targets in the presence of rough sea clutter is a critical challenge in coastal radar...
Gliomas, a diverse and complex category of brain tumors, present significant challenges in accurate classification due t...
Human illnesses that impact a person's ability to think, communicate, and behave are primarily classified as psychol...
This research presents a pioneering framework, termed X-Bridge, aimed at automating the identification of diverse faces...
In this study, a comprehensive evaluation of machine learning models was conducted to detect fraudulent transactions in...
Image forgery detection is a critical task in digital forensics, aiming to identify manipulated images to maintain trust...
The design and synthesis of conformal array antennas that are optimized in terms of gain, VSWR, efficiency and other ant...
Compared to standard endoscopy, wireless capsule endoscopy with non-invasive antennas has gained more attention. Since t...
This paper presents a novel approach for non-invasive, brain-computer interaction using signals acquired from an end use...