| Crop yield prediction using machine learning models: Case of Irish potato and maize M Kuradusenge, E Hitimana, D Hanyurwimfura, P Rukundo, K Mtonga, ... Agriculture 13 (1), 225, 2023 | 68 | 2023 |
| Rainfall-induced landslide prediction using machine learning models: The case of Ngororero District, Rwanda M Kuradusenge, S Kumaran, M Zennaro International journal of environmental research and public health 17 (11), 4147, 2020 | 62 | 2020 |
| Comparison of random forest and support vector machine regression models for forecasting road accidents MC Anthoine Gatera, Martin Kuradusenge, Bajpai Gaurav Scintinfic African 21, 2023 | 16* | 2023 |
| Experimental Study of Site‐Specific Soil Water Content and Rainfall Inducing Shallow Landslides: Case of Gakenke District, Rwanda M Kuradusenge, S Kumaran, M Zennaro, A Niyonzima Geofluids 2021 (1), 7194988, 2021 | 7 | 2021 |
| Operation and Comparative Performance Analysis of Enhanced Interior Routing Protocol (EIGRP) over IPv4 and IPv6 Networks M Kuradusenge, D Hanyuwimfura IJAR in Computer Science and Software Engineering, 2016 | 5 | 2016 |
| SMART-CYPS: An intelligent Internet of Things and Machine Learning powered crop yield prediction system for food security M Kuradusenge, E Hitimana, K Mtonga, A Gatera, J Habiyaremye, ... | 2 | 2024 |
| Risks Reduction of Rainfall-Induced Landslides-A Site-Specific Early Warning System (SSEWS) M Kuradusenge, S Kumaran, M Zennaro, JB Minani ICT Systems and Sustainability: Proceedings of ICT4SD 2021, Volume 1, 873-881, 2022 | 1 | 2022 |
| Revolutionizing Coffee Farming: A Mobile App with GPS-Enabled Reporting for Rapid and Accurate On-Site Detection of Coffee Leaf Diseases Using Integrated Deep Learning E Hitimana, M Kuradusenge, OJ Sinayobye, C Ufitinema, J Mukamugema, ... Software 3 (2), 146-168, 2024 | | 2024 |
| Predictive modelling and alert system for rainfall induced landslides M KURADUSENGE University of Rwanda (College of science and Technology), 2022 | | 2022 |
