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Edna C. Too
Edna C. Too
Lecturer, Computer Science Department, Chuka University
Verified email at chuka.ac.ke - Homepage
Title
Cited by
Cited by
Year
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
10032019
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
312021
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
282020
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
27*2021
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
152019
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
72018
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
32019
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
32019
Secure Cloud Based Approach for Mobile Devices User Data
O Mbae, D Mwathi, E Too
Open Access Library Journal 9 (9), 1-20, 2022
22022
A Backward Regressed Capsule Neural Network for Plant Leaf Disease Detection
J Jepkoech, BK Kenduiywo, DM Mugo, EC Tool
Science Publications, 2022
12022
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
12020
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
12018
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
LightNet: pruned sparsed convolution neural network for image classification
EC Too
International Journal of Computational Science and Engineering 26 (3), 283-295, 2023
2023
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
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