| A comparative study of fine-tuning deep learning models for plant disease identification EC Too, L Yujian, L Yingchun Computers and Electronics in Agriculture 161, 272-279, 2019 | 1151 | 2019 |
| Arabica coffee leaf images dataset for coffee leaf disease detection and classification J Jepkoech, DM Mugo, BK Kenduiywo, EC Too Data in brief 36, 107142, 2021 | 40 | 2021 |
| The Effect of Adaptive Learning Rate on the Accuracy of Neural Networks ECT Jennifer Jepkoech ,David Muchangi Mugo ,Benson K. Kenduiywo International Journal of Advanced Computer Science and Applications(IJACSA …, 2021 | 38* | 2021 |
| Performance analysis of nonlinear activation function in convolution neural network for image classification SNFE Edna C. Too, Li Yujian, Pius Kwao Gadosey International Journal of Computational Science and Engineering 21 (4), 522-535, 2020 | 34 | 2020 |
| Deep pruned nets for efficient image-based plants disease classification EC Too, Y Li, P Kwao, ME Mosomi, J Kibet Journal of Intelligent & Fuzzy Systems 37 (3), 4003-4019, 2019 | 19 | 2019 |
| An evaluation on securing cloud systems based on cryptographic key algorithms S Njuki, J Zhang, EC Too, R Richard Proceedings of the 2nd International Conference on Algorithms, Computing and …, 2018 | 7 | 2018 |
| Analysis of Virtual Machine Migration Security Architectures in Cloud Computing S Njuki, J Zhang, E Too vol 8, 1753-1763, 2019 | 5 | 2019 |
| Secure Cloud Based Approach for Mobile Devices User Data O Mbae, D Mwathi, E Too Open Access Library Journal 9 (9), 1-20, 2022 | 3 | 2022 |
| Enhancing user data and vm security using the efficient hybrid of encrypting techniques S Njuki, J ZHANG, E TOO, HB DADYE Journal of Theoretical and Applied Information Technology 97 (15), 2019 | 3 | 2019 |
| The Convolution Neural Network with Transformed Exponential Linear Unit Activation Function for Image Classification EC Too, Y Li, PT Yamak, T Zhang Proceedings of the 2019 International Conference on Image, Video and Signal …, 2019 | 3 | 2019 |
| LightNet: pruned sparsed convolution neural network for image classification EC Too International Journal of Computational Science and Engineering 26 (3), 283-295, 2023 | 2 | 2023 |
| A Backward Regressed Capsule Neural Network for Plant Leaf Disease Detection J Jepkoech, BK Kenduiywo, DM Mugo, EC Tool Science Publications, 2022 | 1 | 2022 |
| SEB-Net: revisiting deep encoder-decoder networks for scene understanding PK Gadosey, Y Li, T Zhang, Z Liu, EC Too, F Essaf Proceedings of the 2020 6th International Conference on Computing and …, 2020 | 1 | 2020 |
| Learning graph matching with GNCCP S Zeng, Y Li, Z Liu, T Edna Proceedings of the 9th International Conference on E-Education, E-Business …, 2018 | 1 | 2018 |
| A Pruned Dense Convolution Neural Network for Detecting Tuberculosis using X-Ray Images. EC Too, DG Mwathi, L Gitonga, S Kinyori, P Mwaka Data Science and Artificial Intelligence, 2024 | | 2024 |
| An X-ray image-based pruned dense convolution neural network for tuberculosis detection EC Too, DG Mwathi, LK Gitonga, P Mwaka, S Kinyori Computer Methods and Programs in Biomedicine Update 6, 100169, 2024 | | 2024 |
| Convolutional neural networks and support vector machines for hybrid number plate recognition model PM Kibaara, EC Too, DG Mwathi International Journal of Hybrid Intelligence 2 (2), 128-150, 2023 | | 2023 |
| Exploring Entropy pruning coupled with Capsule Neural Network (CapsNet) for leaf disease classification J Jepkoech, D Mugo, EC Too Available at SSRN 4064803, 2022 | | 2022 |
| A comparative study of machine learning methods for forecasting prevalence of weather-based pests EC Too University of Nairobi, 2012 | | 2012 |
| A Backward Regressed Capsule Neural Network for Plant Leaf Disease Classification DM Mugo, BK Kenduiywo, EC Too | | |
