The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …

Brain–computer interfacing (BCI) research, fueled by deep learning, integrates insights from
diverse domains. A notable focus is on steady-state visual evoked potential (SSVEP) in BCI …

This paper addresses various issues in the literature concerning adversarial attack detection
in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider both …

Develo** a comprehensive data-driven strategy for evaluating the organisational culture
in companies to foster digital innovation involves a multi-criteria decision-making (MCDM) …

Evaluating the trustworthiness of deep learning-based computer-aided diagnosis (CAD)
systems is challenging. There is a need to optimize trust and performance in model …

Problems with multiple conflicting criteria are usually modeled by the methods proposed in
the field of Multi-Criteria Decision Making (MCDM). In MCDM, one of the most important …

Autism spectrum disorder (ASD) presents challenges for accurate diagnosis, prompting
researchers to search for an optimal diagnostic process. Feature selection (FS) approaches …

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 …

Biometric systems are a continuously evolving and promising technological domain that can
be used in automatic systems for the unique and efficient identification and authentication of …

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 …