M. Sayeed

A hybrid deep learning framework for acoustic pest detection

The Food and Agriculture Organization (FAO) estimates that pests cause up to 40% of the world's crop production to be lost each year. Therefore, timely crop pest detection is essential for sustainable agriculture, yet it is still difficult in large, noisy field settings. This study presents a hybrid DL model called Aud...

Eco-physiological and biochemical traits underpin drought tolerance and yield stability in soybean (Glycine max L.)

A systematic review and evaluation framework for IoB-based adaptive health coaching systems

Introduction The convergence of the Internet of Things (IoT), artificial intelligence (AI), and behavioural analytics has contributed to the emergence of the Internet of Behaviours (IoB) as a framework for personalized and context-aware digital health interventions. This study systematically reviews and synthesizes the...

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...

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...

Reinforcement Learning Approach for Cybersecurity Threat Detection

A reinforcement learning-based intrusion detection system (RL-IDS) that model’s detection as a sequential decision-making problem using flow-level telemetry, demonstrating a promising solution for next-generation intrusion detection systems.