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 …

Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

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

Intrusion detection systems (IDSs) are commonly employed to mitigate network security
threats in various fields, including federated learning applications within the Internet of …

Abstract Energy Systems Integration (ESI) involves coordinating and planning energy
systems to provide reliable and affordable energy services while minimizing environmental …

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

The pandemic period has made remote work a reality in many organizations. Despite the
possible negative aspects of this form of work, many employers and employees appreciate …

Background The study aims to investigate the pharmacological basis and molecular
mechanisms of resveratrol in the treatment of Alzheimer's disease (AD) and Parkinson's …

The rise of the metaverse has ignited a surge of interest among researchers and decision‐
makers, seeking to develop effective virtual commerce (v‐commerce) applications that cater …

The pandemic period has made remote work a reality in many organizations. Despite the
possible negative aspects of this form of work, many employers and employees appreciate …