| An optimum tea fermentation detection model based on deep convolutional neural networks G Kimutai, A Ngenzi, RN Said, A Kiprop, A Förster Data 5 (2), 44, 2020 | 23 | 2020 |
| An internet of things (IoT)-based optimum tea fermentation detection model using convolutional neural networks (CNNs) and majority voting techniques G Kimutai, A Ngenzi, S Rutabayiro Ngoga, RC Ramkat, A Förster Journal of Sensors and Sensor Systems 10 (2), 153-162, 2021 | 14 | 2021 |
| Tea sickness dataset G Kimutai, A Förster Mendeley Data 2, 2022 | 10 | 2022 |
| An instance-based deep transfer learning approach for resource-constrained environments G Kimutai, A Förster Proceedings of the ACM SIGCOMM Workshop on Networked Sensing Systems for a …, 2022 | 5 | 2022 |
| Offloading an energy-efficient iot solution to the edge: A practical solution for developing countries G Kimutai, A Ngenzi, SR Ngoga, A Forster 2021 IEEE Global Humanitarian Technology Conference (GHTC), 265-272, 2021 | 5 | 2021 |
| A data descriptor for black tea fermentation dataset G Kimutai, A Ngenzi, R Ngoga Said, RC Ramkat, A Förster Data 6 (3), 34, 2021 | 4 | 2021 |
| Application of Computing Techniques in Monitoring Black Tea Processing for Improved Quality: Review and Future Directions G Kimutai, A Ngenzi, RN Said, RC Ramkat, A Förster International Workshop Soft Computing Applications, 254-271, 2023 | 2 | 2023 |
| A low-cost TinyML model for Mosquito Detection in Resource-Constrained Environments G Kimutai, A Förster Proceedings of the 2023 ACM Conference on Information Technology for Social …, 2023 | 2 | 2023 |
| A Content Based Image Retrieval Model for E-Commerce G Kimutai, W Cheruiyot, C Otieno International Journal of Engineering and Computer Science, 2018 | 2 | 2018 |
| Domain-Adaptive TinyML Model for Efficient Pest and Disease Detection in Domestic Crops: A Practical Approach for Developing Countries G Kimutai, A Förster Proceedings of the 2024 International Conference on Information Technology …, 2024 | 1 | 2024 |
| A User-Centred Interaction Design: A Holistic Approach G Kimutai, A Förster 2024 IEEE Global Humanitarian Technology Conference (GHTC), 468-475, 2024 | | 2024 |
| Application of Computing Techniques in Monitoring Black Tea Processing for Improved Quality: Review and Future Directions G Kimutai, A Ngenzi, RN Said, RC Ramkat, A Förster International Workshop Soft Computing Applications, 254-271, 2023 | | 2023 |
| An IoT-based tea fermentation detection model based on deep learning and majority voting techniques G Kimutai University of Rwanda (College of science and Technology), 2022 | | 2022 |
Anna FörsterProfessor, University of BremenVerified email at uni-bremen.de
