Decision Making on School Closure Based on Correlation Analysis During COVID-19 Pandemic. - Iyke Maduako; Kwon Ryul Cha (CSCI, 2021)

Bias in Deep Neural Networks in Land Use Characterization for International Development. - Do-Hyung Kim; Guzmán López; Diego Kiedanski; Iyke Maduako; Braulio Ríos; Alan Descoins; Naroa Zurutuza; Shilpa Arora; Christopher Fabian (Remote. Sens., 2021)

Building k-partite association graphs for finding recommendation patterns from questionnaire data. - Iyke Maduako; Yaqi Gong; Monica Wachowicz (Trans. GIS, 2021)

Computing Traffic Accident High-Risk Locations Using Graph Analytics. - Iyke Maduako; Elijah Ebinne; Victus Uzodinma; Chukwuma J. Okolie; Emmanuel Chiemelu (CoRR, 2022)

Deep learning for component fault detection in electricity transmission lines. - Iyke Maduako; Chukwuemeka Fortune Igwe; James Edebo Abah; Obianuju Esther Onwuasaanya; Grace Amarachi Chukwu; Franklin Ezeji; Francis Ifeanyi Okeke (J. Big Data, 2022)

Automated School Location Mapping at Scale from Satellite Imagery Based on Deep Learning. - Iyke Maduako; Zhuang-Fang Yi; Naroa Zurutuza; Shilpa Arora; Christopher Fabian; Do-Hyung Kim (Remote. Sens., 2022)

Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim results. - Chukwuma J. Okolie; Adedayo Adeleke; Julian Smit; Jon P. Mills; Iyke Maduako; Caleb Ogbeta (CoRR, 2024)