Customer churn mitigation in telecommunications extends beyond identifying at-risk subscribers to determining optimal retention actions under cost and operational constraints. This study formulated churn mitigation as a sequential decision optimisation problem and proposed a rein...
Open access
Research Article10.9734/jerr/2026/v28i61936
Enhancing spectrum efficiency (SE) remains central to the evolution of 5G millimeter-wave (mm-wave) massive MIMO networks. This paper presents an integrated approach combining hybrid precoding and non-orthogonal multiple access (NOMA) for simultaneous information and power transf...
Open access
Research Article10.9734/ajarr/2025/v19i111211
The integration of simultaneous wireless information and power transfer (SWIPT) into millimeter-wave (mmWave) massive MIMO–non-orthogonal multiple access (NOMA) systems is a promising paradigm for sustainable, high-capacity wireless networks. However, achieving high energy effici...
Open access
Research Article10.9734/jmsrr/2025/v8i4446
This study introduces the Secure Optimized Routing Algorithm (SORA) and its enhanced variant, ACO-SORA, that incorporates Ant Colony Optimization (ACO) to address security vulnerabilities and inefficiencies in Mobile Ad Hoc Networks (MANETs). SORA achieved a 92% packet delivery f...
Open access
Research Article10.9734/jerr/2025/v27i51495
Customer churn remains a critical challenge for the telecommunication industry, directly impacting revenue and customer retention strategies. Traditional churn prediction models based on statistical and machine learning techniques have shown limited adaptability in capturing comp...
Open access
Research Article10.9734/ajrcos/2025/v18i5649
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 transien...
Open access
Research Article10.9734/jerr/2026/v28i92008
The increasing complexity of modern power systems and the growing penetration of renewable energy necessitate autonomous, cyber-resilient fault management to minimise outage durations. Traditional fault detection methods and centralised cloud-centric architectures suffer from hig...
Open access
Research Article10.9734/jerr/2026/v28i91997
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...
Open access
Research Article10.9734/jerr/2026/v28i81989
This study addresses voltage instability in developing-economy transmission grids by determining the optimal placement and sizing of Static Var Compensators (SVCs) on the Nigerian 330 kV, 50-bus network. Although metaheuristic techniques have been widely applied to FACTS device a...
Open access
Research Article10.9734/jerr/2026/v28i81976
Traditional SCADA and relay-based protection, with typical latencies of 2–10 seconds, are inadequate for the resilience required in modern 132kV transmission networks. This paper reviews the integration of Internet of Things (IoT) sensor fabrics, including Phasor Measurement Unit...
Open access
Research Article10.9734/ajrcos/2025/v18i12791
The integration of Internet of Things (IoT) technologies into precision poultry farming has revolutionized environmental monitoring; yet, high energy consumption in sensor networks remains a significant barrier to scalability and sustainability. This study presents a hybrid sleep...
Open access
Research Article10.9734/ajrcos/2025/v18i11782
This study proposed and validated a reinforcement learning (RL)-assisted framework to enhance voltage stability in Nigeria’s power grid through dynamic coordination of a Dynamic Voltage Restorer (DVR) and Battery Energy Storage System (BESS). Addressing the Nigerian grid’s vulner...
Open access
Research Article10.9734/jerr/2025/v27i61545
This study evaluated machine learning models for predicting photovoltaic (PV) energy output using daily meteorological data (temperature, relative humidity, wind speed, and solar radiation) from Nigeria’s South-South region over a decade (2012–2022). Data from Uyo, sourced from t...
Open access
Research Article10.9734/jerr/2025/v27i41481
This study was motivated by the challenge of evaluating radio frequency (RF) signal behaviour concerning transmitter and receiver positioning prior to deployment and during troubleshooting. This paper presented the development and testing of a MATLAB-based signal visualisation ap...
Open access
Research Article10.9734/jerr/2024/v26i101297
A robust antenna design that addresses the growing demand for compact, high-performance wireless devices remains a major challenge, particularly in achieving high antenna gain while maintaining compact size and acceptable bandwidth in microstrip antenna arrays. This paper present...
Open access
Research Article10.9734/jerr/2026/v28i11776
This paper explored the modelling and performance analysis of a smartphone-based fingerprint identification system using Convolutional Neural Networks (CNN). The research developed a theoretical framework to validate picture-based fingerprint identification as a feasible alternat...
Open access
Research Article10.9734/jerr/2024/v26i101298