Identifying patterns in urban housing density in developing countries using convolutional networks and satellite imagery R Sanya, E Mwebaze Heliyon 6 (12), e05617, 2020 | 10 | 2020 |
Socio-Economic Factors Affecting Use of Information Sources among Cashew Farmers in Niger State, Nigeria O Oduwole, I Ndagi, O Taiwo, I Muhammed, S Rahman Journal of Agriculture and Environmental Sciences 13 (6), 769-773, 2013 | 6 | 2013 |
Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications R Sanya, AL Nabiryo, JF Tusubira, S Murindanyi, A Katumba, ... Data in Brief 52, 109952, 2024 | 5 | 2024 |
Socio-economic factors affecting use of information sources among cashew farmers in Niger State, Nigeria. I Ndagi, O Oduwole, O Taiwo, I Muhammed, S Rahman | 5 | 2013 |
Using mobile phone data to study dynamics of rural-urban mobility R Sanya, M Mubangizi 2016 International Conference on Data Science and Engineering (ICDSE), 1-6, 2016 | 2 | 2016 |
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification S Murindanyi, J Nakatumba-Nabende, R Sanya, R Nakibuule, A Katumba arXiv preprint arXiv:2408.12426, 2024 | 1 | 2024 |
Using Convolutional Networks and Satellite Imagery to Predict Disease Density in a Developing Country R Sanya, G Maiga, E Mwebaze Preprints, 2019 | 1 | 2019 |
Using socio-economic well-being to predict geospatial epidemic intensity in a developing country setting R Sanya, E Mwebaze AGILE, 2018 | 1 | 2018 |
Predicting infectitious disease density in urban settings using Convolutional Neural Networks R Sanya Makerere University, 2021 | | 2021 |
Using mobile phone data to study dynamics of rural-urban mobility M Lukyamuzi, R Sanya IEEE, 2016 | | 2016 |
EXPLOITING SEMANTIC COHERENCE TO IMPROVE PREDICTION IN SATELLITE SCENE IMAGE ANALYSIS: APPLICATION TO DISEASE DENSITY ESTIMATION R Sanya, G Maiga, E Mwebaze | | |