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Author

R. Asif

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Open access Sep 2026

Design and Deployment of Multi-Class Image Classification Model on ESP32 Using a Lightweight CNN Approach

Tremendous progress has been made in developing intelligent and autonomous systems in recent years, driven by AI software tools such as Chatbots and large language models (LLMs) for various applications. This has led to the adoption of smart technology solutions. Nonetheless, computer vision requires significant comput...

Abdul Hannan, R. Asif · 0 citations
Open access 2026

Secure Multi-Zone Optimization of Demand Response in 5G-Enabled Smart Grids with Trust-Aware Communication

: The implementation of 5G communication in smart grids facilitates real-time demand response (DR) management, but at the same time creates several problems concerning cyber security and communication reliability, as well as user trust. Currently, DR methods mainly aim at energy optimization and neglect the combined ef...

Sajjad Rabbani, R. Asif, Mai Alduailij et al. · 0 citations
Open access Sep 2026

5G-Enabled Forecasting and Scheduling for Smart Grid-Based Operational Control of Renewable Power Systems

The growing share of renewables has introduced new operational problems into modern smart grids because the electricity from renewable energy sources is intermittent, the load demands are variable and the requirement for real-time control has arisen. In this paper, a framework for smart grid forecasting and scheduling...

Shafaqut Ali, R. Asif · 0 citations
Open access Aug 2026

5G-Enabled Energy-Efficient Operation and Management of Renewable Power Generation

To handle the growing share of renewable energy resources in a modern smart grid, efficient operation, real-time monitoring and reliable communication support are necessary. This paper proposes an operation and management framework for energy generation from renewable energy sources with the aid of 5G technology that i...

M. Ahmad, R. Asif, Ayesha Awan · 0 citations
Open access Aug 2026

An IoT-Enabled Edge Intelligence Framework for Real-Time Fault Monitoring in Power Distribution Networks

The proposed framework provides a scalable smart distribution monitoring platform and a future enhancement path towards implementation with hardware, event logging, fault-location techniques and machine-learning based fault classification.

H. Ali, R. Asif, Muhammad Rizwan · 0 citations

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