Dr. Consolata Gakii Mwirichia Publications

Publications in Journals:

1. Mukoya, E., Rimiru, R., Kimwele, M., Gakii, C., & Mugambi, G. (2023). Accelerating deep learning inference via layer truncation and transfer learning for fingerprint classification. Concurrency and Computation: Practice and Experience, 35(8), e7619.
2. Bwana, B. K., Mireji, P. O., Obiero, G. F., Gakii, C., Akoth, M. O., Mugweru, J. N., ... & Hassanali, A. (2022). Annotations of novel antennae-expressed genes in male Glossina morsitans morsitans tsetse flies. Plos one, 17(8), e0273543.
3. Gakii, C., Mireji, P. O., & Rimiru, R. (2022). Graph Based Feature Selection for Reduction of Dimensionality in Next-Generation RNA Sequencing Datasets. Algorithms, 15(1), 21.
4. Murimi, M. M., Margaret, K. I. N. Y. U. A., Boaz, T. O. O., & Gakii, C. (2021). Maize Leaf Disease Detection using Convolutional Neural Networks. Journal of Applied Computer Science & Mathematics, 15(1), 15-20.
   
5. Gakii, C., & Rimiru, R. (2021). Identification of cancer-related genes using feature selection and association rule mining. Informatics in Medicine Unlocked, 24, 100595.
6. Gakii, C., Bwana, B. K., Mugambi, G. G., Mukoya, E., Mireji, P. O., & Rimiru, R. (2021). In silico-driven analysis of the Glossina morsitans morsitans antennae transcriptome in response to repellent or attractant compounds. PeerJ, 9, e11691.
7. Gakii, C., & Jepkoech, J.(2019)” A Classification Model For Water Quality Analysis Using Decision Tree” European Journal of Computer Science and Information Technology,Volume 7,NO.3,pp.1-8,June 2019
8. Gakii, C., Mukiri, V. F., & Murimi, M. (2018) Information Technology in Government Services Delivery: A Case Study of Huduma Center Kenya. International Journal of Scientific & Technology Research,7(12), 67-69.
9. Consolata, M., Mwangi, W., & George, O. (2016). Telecommuting model for small and medium enterprises (Smes) in Kenya. European Journal of Computer Science and Information Technology, 4(4), 13-19.
10. Consolata, M., Mwangi, W., & George, O. (2016). Assessing the Effectiveness of an Adaptive Structuration Theory Based Telecommuting Model using Web Analytics. International Journal of Information and Communication Technology Research, 6(8).