Outputs (13)

Investigating the effect of implementation languages and large problem sizes on the tractability and efficiency of sorting algorithms (2019)
Journal Article
Fagbola, T. M., & Thakur, S. C. (2019). Investigating the effect of implementation languages and large problem sizes on the tractability and efficiency of sorting algorithms. International Journal of Engineering Research & Technology, 12(2), 196-203

Sorting is a data structure operation involving a re-arrangement of an unordered set of elements with witnessed real life applications for load balancing and energy conservation in distributed, grid and cloud computing environments. However, the rear... Read More about Investigating the effect of implementation languages and large problem sizes on the tractability and efficiency of sorting algorithms.

Rab-KAMS: A reproducible knowledge management system with visualization for preserving Rabbit Farming and Production Knowledge (2019)
Journal Article
Fagbola, T. M., Thakur, S. C., & Olugbara, O. (2019). Rab-KAMS: A reproducible knowledge management system with visualization for preserving Rabbit Farming and Production Knowledge. International journal of advanced computer science and applications : IJACSA, 10(1), 263-273. https://doi.org/10.14569/IJACSA.2019.0100135

The sudden rise in rural-to-urban migration has been a key challenge threatening food security and most especially the survival of Rabbit Farming and Production (RFP) in Sub-Saharan Africa. Currently, significant knowledge of RFP is going into extinc... Read More about Rab-KAMS: A reproducible knowledge management system with visualization for preserving Rabbit Farming and Production Knowledge.

Development of mobile-interfaced machine learning-based predictive models for improving students' performance in programming courses (2018)
Journal Article
Matthew, F. T., Adepoju, A. I., Ayodele, O., Olumide, O., Olatayo, O., Adebimpe, E., Bolaji, O., & Funmilola, E. (2018). Development of mobile-interfaced machine learning-based predictive models for improving students' performance in programming courses. International journal of advanced computer science and applications : IJACSA, 9(5), 105-115. https://doi.org/10.14569/IJACSA.2018.090514

Student performance modelling (SPM) is a critical step to assessing and improving students' performances in their learning discourse. However, most existing SPM are based on statistical approaches, which on one hand are based on probability, depictin... Read More about Development of mobile-interfaced machine learning-based predictive models for improving students' performance in programming courses.