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
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
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
This study investigates the efficacy of Logistic Regression and Random Forest models in sentiment analysis using Nigerian-based datasets, namely "Gangs of Lagos" and "PeterObi Politics." Sentiment analysis, a vital component of Natural Language Processing (NLP), plays a crucial r...
Open access
Research Article10.9734/jerr/2024/v26i101287
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 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