Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

This study aims to perform a thorough systematic review investigating and synthesizing
existing research on defense strategies and methodologies in adversarial attacks using …

There is a considerable threat present in genres such as machine learning due to
adversarial attacks which include purposely feeding the system with data that will alter the …

Background and objective: Principally, the procedure of pattern recognition in terms of
segmentation plays a significant role in a BCI-based wheelchair control system for avoiding …

Brain-computer interface (BCI-MI)-based wheelchair control is, in principle, an appropriate
method for completely paralyzed people with a healthy brain. In a BCI-based wheelchair …

Brain-computer interface (BCI) is an appropriate technique for totally paralyzed people with
a healthy brain. BCI based motor imagery (MI) is a common approach and widely used in …

The objective of this paper is to propose a novel dual-level multisource information fusion
approach for handling open multicriteria decision-making (MCDM) issues related to …

Electroencephalography (EEG) can control machines for human purposes, especially for
disabled people doing rehabilitation exercises or regular tasks. Brain-computer interface …

Gender recognition on the facial level is considered one of the most important technologies
that finds use in such fields as a personalized marketing plan, safe systems of …

Orthopaedic diseases, which affect millions of people globally, present significant diagnostic
challenges, often leading to long-term disability and chronic pain. There is an ongoing …