Prof. Dake, Delali Kwasi
| +233 540504108 | |
| dkdake@uew.edu.gh |
Dake, D. K., & Buabeng-Andoh, C. (2022). Using Machine Learning Techniques to Predict Learner Drop-out Rate in Higher Educational Institutions. Mobile Information Systems, 2022, 9. DOI: https://doi.org/10.1155/2022/2670562
Dake, D. K., Gadze, J. D., & Klogo, G. S. (2021). DDoS and Flash Event Detection in Higher Bandwidth SDN-IoT using Multiagent Reinforcement Learning. In International Conference on Computing, Computational Modelling and Applications (ICCMA). DOI: https://doi.org/10.1109/ICCMA53594.2021.00011
Dake, D. K., Gadze, J. D., Klogo, G. S., & Nunoo-Mensah, H. (2021). Multi-agent reinforcement learning framework in SDN-IoT for transient load detection and prevention. Technologies, 9(3), 44. DOI: https://doi.org/10.3390/technologies9030044
Dake, D. K., Essel, D. D., & Agbodaze, J. E. (2021). Using Machine Learning to Predict Students’ Academic Performance During Covid-19. In International Conference on Computing, Computational Modelling and Applications (ICCMA). DOI: https://doi.org/10.1109/ICCMA53594.2021.00010
Dake, D. K., Gadze, J. D., Klogo, G. S., & Nunoo-Mensah, H. (2021). Traffic Engineering in Software-defined Networks using Reinforcement Learning: a review. International Journal of Advanced Computer Science and Applications (IJACSA), 12(5), 330-345. DOI: http://dx.doi.org/10.14569/IJACSA.2021.012...
Dake, D.K., & Ofosu, B.A. (2019). 5G enabled technologies for smart education. International Journal of Advanced Computer Science and Applications (IJACSA), 10(12), 201-206. DOI: http://dx.doi.org/10.14569/IJACSA.2019.010...