Swarm robotics epitomizes a frontier in cooperative control within multi-agent systems,
where the emulation of biological swarms offers a paradigm shift in robotics. This paper …

The Internet of Things (IoT), that has undertaken a revolution over the course of decades, is
now a vital part of several application fields, which include smart towns and smart shipping …

Ensemble learning has emerged as a potent method for improving prediction accuracy in
Big Data classification tasks. This paper presents a comprehensive study of ensemble …

Neuro-symbolic artificial intelligence (AI) stands at the frontier of machine learning by
amalgamating the interpretability and structured knowledge representation of symbolic …

Temporal data mining is an advanced analytical field that focuses on the extraction of
interpretable patterns, correlations, and trends over time within data streams. This paper …

Industrial data has increased significantly in the emerging data-driven age, and it often
contains abnormalities that could point to crucial system faults or inefficiencies. The …

In the realm of automated speech recognition (ASR), the robustness of systems operating
within noisy environments remains a pivotal challenge. This paper introduces an innovative …

The burgeoning complexity of industrial systems necessitates robust anomaly detection
mechanisms to ensure operational integrity and safety. Traditional signal processing …

Advanced Driver Assistance Systems (ADAS) in autonomous vehicles are pivotal in
ensuring safety, efficiency, and comfort. The core of these systems lies in the sophisticated …

Global communication paradigms have undergone a dramatic transition with the
introduction of Low Earth Orbit (LEO) satellite networks. This study provides an in-depth …