Zainab Akinsemoyin

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

Integrating Machine Learning and Subsurface Characterization for Improved Urban Flood Modelling and Parameter Optimization

Olalekan Afolabi, Zainab Akinsemoyin, Emmanuel Essel, Michael Oghale Ighofiomoni, Kayode Emmanuel Thompson, Kabir Abiodun Basit & Confidence Adimchi Chinonyerem · Asian Journal of Advanced Research and Reports · 2025

Flooding is one of the worst natural disasters which endangers lives and hampers economic activities across the globe. Construction and calibration of physical models which includes computational resources and data are the primary components of urban flood modeling. In this resea...

Open access Research Article 10.9734/ajarr/2025/v19i71083