This paper presents a Zigbee-based wireless monitoring system for industrial disaster management and emergency response. The proposed model supports real-time hazard monitoring through sensor-based communication.

Johansson, A., Lindgren, E., Svensson, M., Nilsson, J., & Andersson, K. (2026). A Zigbee-Based Approach for Enhancing Industrial Disaster Management and Emergency Response. Computer Engineering, 15(1), 1–4.

This study explores machine learning techniques for network intrusion detection. The proposed approach improves threat identification by analyzing network traffic patterns and abnormal behavior.

Mehta, R., & Sharma, P. (2026). AI-Based Network Intrusion Detection Using Machine Learning Techniques. Computer Engineering, 15(1), 5–12.

This article presents a cloud-based data processing framework designed for scalable computing applications. The framework improves resource utilization and supports efficient processing of large datasets.

Kim, D., & Lee, S. (2026). Cloud-Based Data Processing Framework for Scalable Computing Applications. Computer Engineering, 15(1), 13–20.