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Open access Aug 2026

A comparative performance analysis of ensemble learning and regularized neural networks in cardiovascular risk prediction

Introduction Heart disease classification using small structured clinical datasets requires evaluation procedures that account for sampling variability, model-selection bias, probability calibration, and clinically relevant operating characteristics. This study presents an internally validated comparison of classical c...

Golam Md Mohiuddin, Md. Shakil Hossain, M. S. Sayeed · 0 citations
Open access 2026

A Multi-Agent Hybrid Transfer Learning and Monte Carlo Tree Search Framework for Energy Efficient UAV Communication in 6G Aerial Networks

Maintaining communication between Uncrewed Aerial Vehicles (UAVs) and Ground Control Stations (GCS) over an extended set of operational distances is still a major challenge in autonomous aerial systems, even within new 6G-enabled aerial network models. The traditional measures of communication management, such as heuri...

Anantha Babu Shanmugavel, Arjun Kidavunil Paduvilan, E. Mariappan et al. · 0 citations
Open access Jul 2026

Reinforcement Learning Approach for Cybersecurity Threat Detection

Traditional intrusion detection systems (IDS) struggle to detect evolving cyber threats due to their reliance on static signatures and fixed decision boundaries. Existing machine learning-based approaches partially address this limitation but often fail to generalize to zero-day attacks and lack adaptability in dynamic...

M. S. Sayeed, Ennbaraaj G. Sundharajan, Golam Md Mohiuddin · 0 citations

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