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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

A. Obot

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Review Open access Sep 2026

Intelligent Control of FACTS Devices for Co-Optimized Transient Stability and Voltage Security in Power Transmission Systems: A Comprehensive Review

Modern power transmission systems increasingly operate under stressed conditions characterised by load growth, reduced operating margins, ageing infrastructure, and extensive integration of converter-interfaced generation. These conditions strengthen the coupling between transient rotor-angle stability and voltage secu...

Itoro E. Udosen, N. Okpura, K. Udofia et al. · 0 citations
Open access Sep 2026

Enhanced Solar-Integrated Quasi-Z-Source DC–DC Converter for Efficient Electric Vehicle Battery Charging

The integration of photovoltaic (PV) systems with electric vehicle (EV) charging requires high-gain DC–DC converters that can handle low and variable PV voltages while maintaining efficiency and battery safety. This paper presents the modelling and performance analysis of a solar‑integrated enhanced quasi‑Z‑source DC–D...

M. Udoh, J. Afolayan, K. Udofia et al. · 0 citations
Review Open access Jul 2026

A Comprehensive Review of Fault Detection, Classification, and Location Techniques in Transmission Networks for Developing Countries

Reliable transmission networks underpin national economic development, yet developing countries continue to experience disproportionately high rates of transmission line faults, prolonged outage durations, and constrained investment in protection infrastructure. This review synthesises the current state of knowledge on...

Ukut, Uwem, Isong, Nsebong Opura, A. Obot et al. · 0 citations
Review Open access 2026

Topology-Aware Learning for Routing In Satellite–Terrestrial Integrated Networks: A Review of Graph Neural Network and Reinforcement Learning Approaches

This review analyses topology-aware learning-based routing for STINs, concentrating on Graph Neural Networks (GNNs) and hybrid GNN–Reinforcement Learning (GNN–RL) frameworks.

Eyeneka J. Ntuen, A. Obot, K. Udofia et al. · 0 citations

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