Industry 5.0 is increasingly understood as a human-centric, resilient, and sustainable extension of digital industrial transformation, yet empirical evidence on its implementation at firm level remains limited. Existing studies have relied largely on conceptual discussion or expert-based prioritisation techniques, while the structural relationships among implementation…

We study the effects of batch normalization and spatial dropout on the performance of VGG-11, Network in Network, and GoogLeNet architectures. We incorporate these regularization techniques into each model and evaluate their impact on classification accuracy and average loss. Experimental results show that spatial dropout…

Greenwashing refers to deceptive green marketing strategies used by companies and organizations to enhance their competitive edge and generate higher profits by appealing to environmentally conscious consumers. This practice arises when the actions of these entities do not align with the claims they make regarding…

Container-based cyber ranges are increasingly used as lightweight alternatives to virtual machine–based environments for cybersecurity experimentation and training. However, empirical evaluation of detection-related runtime properties in such environments remains limited. This paper presents an experimental study of detection latency and scenario-level observability in a minimal…

This paper summarizes an adaptive SD-WAN tunneling mechanism designed for underlays based on geostationary (GEO) satellite links. The proposed solution operates entirely in IP-based tunneling and combines adaptive segmentation, controlled packet duplication, and receiver-side duplicate elimination to mitigate typical transmission impairments of GEO SATCOM links.…

Artificial intelligence (AI) and machine learning (ML) systems are increasingly embedded in financial services, powering credit scoring, lending, fraud detection, and risk management. While these technologies enhance efficiency and predictive performance, they also introduce algorithmic bias that can undermine fairness, regulatory compliance, and public trust.…