All Outputs (2)

Comparative study of EIGRP and OSPF protocols based on network convergence (2020)
Journal Article
Okonkwo, I., & Emmanuel, I. Comparative study of EIGRP and OSPF protocols based on network convergence. International Journal of Advanced Computer Science and Applications, 11(6), 39-45. https://doi.org/10.14569/IJACSA.2020.0110605

Dynamic routing protocols are one of the fastest growing routing protocols in networking technologies because of their characteristics such as high throughput, flexibility, low overhead, scalability, easy configuration, bandwidth, and CPU utilization... Read More about Comparative study of EIGRP and OSPF protocols based on network convergence.

Sparse noise minimization in image classification using Genetic Algorithm and DenseNet
Presentation / Conference
Mienye, I., Kenneth Ainah, P., Emmanuel, I., & Esenogho, E. Sparse noise minimization in image classification using Genetic Algorithm and DenseNet. Presented at 2021 Conference on Information Communications Technology and Society (ICTAS), Durban, South Africa

Noise handling is a critical aspect of image processing, which can significantly affect the accuracy of classification and recognition algorithms. In this paper, we propose a technique for improved noise handling in sparse input feature maps where th... Read More about Sparse noise minimization in image classification using Genetic Algorithm and DenseNet.