Jemal Abawajy

Model predictive control-based energy management for microgrids in weak utility grid environments

S. Saha, M. Elliott, S. Huda, Jemal Abawajy et autres

This paper presents a model predictive control based energy management system for microgrids with high renewable energy penetration in weak utility grid environments. Weak grid–microgrid interconnection, characterised by high equivalent grid impedance and low available fault levels, results in high voltage sensitivity …

Deep Learning-Based Classification of Malaysian Pineapple Ripeness Index Using Fine-Tuned VGG16

Maslina Abdul Aziz, Ida Normaya Mohd Nasir, Nurul Ain Mustakim, Shuzlina Abdul-Rahman et autres

Pineapple ripeness grading is a critical postharvest operation; however, the Malaysian industry still relies heavily on subjective visual inspection, which leads to significant inconsistencies in quality control. This study bridges the gap between traditional manual practices and the rigorous demands of automated …

Preface

T Herawan, Haruna Chiroma, Jemal Abawajy

Preface

Foreword

Jemal Abawajy, Z Xu, M Atiquzzaman, X Zhang

Foreword

Artificial intelligence in urban transportation systems: A systematic survey and taxonomy

Areej Obeidat, Jemal Abawajy, Ansam Khraisat

Rapid urbanization and increasing vehicle ownership are intensifying traffic congestion, road safety risks, and environmental pressures in cities worldwide. Conventional rule-based traffic management systems are increasingly inadequate for handling the dynamic and nonlinear nature of modern transportation networks, motivating the adoption of …

Behavioral trust management in Digital Twin systems using safe state analysis and virtual validation

Farag Azzedin, Turki A. Alhazmi, Jemal Abawajy, Mohammad Hammoudeh

sa, au (code pays fourni par la source)

IoT Vulnerability Severity Prediction Using Lightweight Transformer Models

Samira A. Baho, Jemal Abawajy

Vulnerability severity assessment plays a critical role in cybersecurity risk management by quantifying risk based on vulnerability disclosure reports. However, interpreting these reports and assigning reliable risk levels remains challenging in Internet of Things (IoT) environments. This paper proposes an IoT vulnerability …

au (code pays fourni par la source)

Forged anomaly detection using advanced deep learning

Nomica Choudhry, Jemal Abawajy, Shamsul Huda, Imran Rao

au (code pays fourni par la source)

EDITORIAL: MULTISCALE ENGINEERING SYSTEMS FOR RENEWABLE ENERGY STORAGE

Z Xu, Jemal Abawajy, Haruna Chiroma, SM Abdulhamid

EDITORIAL: MULTISCALE ENGINEERING SYSTEMS FOR RENEWABLE ENERGY STORAGE

Preface

R Ghazali, NM Nawi, MM Deris, Jemal Abawajy et autres

Preface

Deep Learning Approach for IoT Vulnerability Severity Prediction

Samira A. Baho, Jemal Abawajy

The proliferation of Internet of Things (IoT) devices has introduced a vast and complex attack surface, making efficient management and prioritization of vulnerabilities a critical cybersecurity challenge. Fast and accurate assessment of IoT vulnerability severity level is essential for effective prioritization and …

au (code pays fourni par la source)

A recurrent neural network for network-based intrusion detection

Abraham Berhanu, Sabarathinam Chockalingam, Jemal Abawajy, Shegaw Anagaw Mengiste et autres

Intrusion Detection Systems (IDS) play a vital role in monitoring and preventing unauthorized access within critical network infrastructures. However, current IDS approaches often suffer from limitations in detection accuracy, scalability, and adaptability to evolving threats. To address these challenges, this study proposes …

Éthiopie, no, au, id, sa (code pays fourni par la source)