Chidiebere Anastacia Ezeh

Hybrid Machine Learning-driven Digital Twin Framework for Real-Time Traffic Optimization in Mega Cities

Chidiebere Anastacia Ezeh, Chijioke George Edeh, Yusuf Mohammed-Ali, Onyegbule Tochukwu Victor, Lawal Sulaimon Abiodun & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

Traffic congestion remains a major challenge in Lagos, causing substantial delays, higher fuel consumption, pollution and reduced productivity. As the city continues to grow and vehicle ownership increases, the existing road infrastructure is insufficient to accommodate rapidly r...

Open access Research Article 10.9734/ajarr/2026/v20i71416

AI-driven Digital Twin Framework for Predictive Maintenance, Asset Integrity Management, and Energy Optimization in Smart Oil and Gas Industrial Systems

Henry Inkum, Chidiebere Anastacia Ezeh, Vanessa Grant, Urhiofe God'sfavour Oghenerabome, Lawal Adeshina Muhammed, Adedokun Abdulrahman Adegoke, Lawal Sulaimon Abiodun & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

Advances in AI, physics-informed modelling, and Digital Twin technologies offer the potential to enhance predictive maintenance, asset-integrity assessment, and energy management within oil and gas processing systems. However, these frameworks are most useful when they are based...

Open access Research Article 10.9734/ajarr/2026/v20i91456

AI-Driven Automation and Digital Twin Framework for Smart Transportation Systems and Predictive Infrastructure Maintenance

Henry Inkum, Chidiebere Anastacia Ezeh, Georgina Fiyinfoluwa Leramo, Adedokun Abdulrahman Adegoke, Lawal Sulaimon Abiodun, Gbadamosi, Damilola Mukahil & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2026

With the accelerated pace of urbanisation and growing transport demand, traffic congestion has worsened, while transportation infrastructure has increasingly deteriorated, particularly in rapidly growing metropolises such as Lagos, Nigeria. Traditional transportation management s...

Open access Research Article 10.9734/ajarr/2026/v20i81438

Evaluation of Machine Learning Models for Predicting Flood Susceptibility Using Spatial and Socio-Environmental Attributes in Lagos, Nigeria

Zainab Akinsemoyin, Oluwaseun Peter Adeoye, Chidiebere Anastacia Ezeh, Eniola Onatayo, Oghogho Favour Aisosa & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2025

Flooding is one of the major challenges to urban resilience in Lagos, Nigeria, which is one of the fast-growing coastal megacities globally experiencing high exposure to extreme rainfall and sea-level rise. In this paper, the performances of four machine learning classifiers, nam...

Open access Research Article 10.9734/ajarr/2025/v19i121235