Customer churn is a critical concern for the telecommunication industry. Understanding and predicting customer churn can lead to more effective retention strategies and an increase in profitability. Predicting customer churn allows telecommunication companies to identify potentia...
Open access
Research Article10.9734/jerr/2024/v26i21081
Enobong Imo Udo, Bliss Utibe-Abasi Stephen, Philip Asuquo, Ihemereze Chijioke Nnanna, Amarachi Vivian Nnajiofor, Michael Okon Bassey & Iniubongabasi Paul Etim·Journal of Engineering Research and Reports·2025
Aims/ Objectives: With the consistent global increase in obesity population, researchers have proposed both machine learning and neural network techniques in predicting obesity beforehand from lifestyle and demographic factors. However, extant literatures in the pipeline subscrib...
Open access
Research Article10.9734/jerr/2025/v27i81604
Building Information Modelling (BIM) is increasingly being adopted across the architecture, engineering, and construction industries for digitally simulating and managing infrastructure projects. Despite the growth in BIM utilisation, challenges persist in the classification and...
Open access
Research Article10.9734/jerr/2026/v28i41847