Wireless Sensor Networks are constrained by limited node energy, making energy-efficient routing protocols essential for extending network lifetime. This paper presents an Adaptive Dual-Transmit Enhanced LEACH protocol that dynamically adjusts intra-cluster transmission amplifica...
Open access
Research Article10.9734/jerr/2026/v28i71955
This study evaluated existing empirical path loss models and developed a linear regression-based propagation model for LTE networks operating at 2400 MHz in Kurutie, Delta State, Nigeria, a rural environment with dense vegetation and variable settlement patterns. Field measuremen...
Open access
Research Article10.9734/jerr/2026/v28i71954
The rapid digitalisation of banking has increased exposure to financial cybercrime, while existing fraud-detection methods remain limited by single-modality data, class imbalance, concept drift, and poor explainability. This study developed and evaluated the Generative AI-Enhance...
Open access
Research Article10.9734/jerr/2026/v28i71953
Modern industrial manipulators operating within human-in-the-loop environments generate highly variable, noise-contaminated telemetry that can reduce the reliability of centralised predictive maintenance models. Cloud-based diagnostic architectures are constrained by communicatio...
Open access
Research Article10.9734/jerr/2026/v28i71952
A hybrid predictive–mechanistic model was developed for continuous Co²⁺ removal from wastewater using fixed-bed adsorption columns packed with cellulose-derived composite adsorbents. The Artificial Neural Network (ANN) model used a feed-forward backpropagation algorithm optimised...
Open access
Research Article10.9734/jerr/2026/v28i71951
Nigeria’s aviation industry is increasingly adopting digital systems, including blockchain, artificial intelligence and big data analytics, for passenger processing, cargo tracking, predictive maintenance, operational monitoring and regulatory oversight. These technologies may im...
Open access
Research Article10.9734/jerr/2026/v28i71949
Background: Facial recognition systems often experience reduced performance when key facial regions are obscured by masks, sunglasses, scarves or hand overlays. Aims: The study aims to investigate architectural enhancements to standard Convolutional Neural Network (CNN) models, n...
Open access
Research Article10.9734/jerr/2026/v28i71950
This study examines entropy generation and Bejan number behaviour in steady, two-dimensional, incompressible micropolar fluid flow over a linearly stretching sheet with variable thermal conductivity. The flow is considered in the presence of a transverse magnetic field and a homo...
Open access
Research Article10.9734/jerr/2026/v28i71946
This study presents an integrated seismic interpretation and deterministic volumetric screening of fault-controlled reservoir prospects in the MAG Field, shallow offshore western Niger Delta Basin, Nigeria. The study reassessed the field’s structural framework, calibrated reservo...
Open access
Research Article10.9734/jerr/2026/v28i71947