Abstract Background and Objective: Artificial Intelligence (AI) has shown significant
advancements across several industries, including healthcare, using better fusion …

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 …

With the escalation of cybercriminal activities, the demand for forensic investigations into
these crimeshas grown significantly. However, the concept of systematic pre-preparation for …

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 …

This study delves into the complex prioritization process for Autism Spectrum Disorder
(ASD), focusing on triaged patients at three urgency levels. Establishing a dynamic …

In the context of autism spectrum disorder (ASD) triage, the robustness of machine learning
(ML) models is a paramount concern. Ensuring the robustness of ML models faces issues …

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 …

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 …

In automated systems, biometric systems can be used for efficient and unique identification
and authentication of individuals without requiring users to carry or remember any physical …