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ORCIDKennedy Ehimwenma
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2020 – today
- 2023
[i5]Kennedy Efosa Ehimwenma, Safiya Al Sharji, Maruf Raheem:
Difference of Probability and Information Entropy for Skills Classification and Prediction in Student Learning. CoRR abs/2312.05747 (2023)- [i4]Kennedy E. Ehimwenma, Junfeng Wang, Ze Zheng, Hongyu Zhou:
A symbolic-arithmetic for teaching double-black node removal in red-black trees. CoRR abs/2312.07566 (2023) - 2022
- [c2]Ahmed Al-Qasmi, Huda Al Shuaily, Kennedy E. Ehimwenma
, Safiya Al Sharji:
Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service? IoECon 2022: 91-100 - 2020
- [j2]Kennedy E. Ehimwenma, Paul Crowther, Martin D. Beer, Safiya Al Sharji:
An SQL Domain Ontology Learning for Analyzing Hierarchies of Structures in Pre-Learning Assessment Agents. SN Comput. Sci. 1(6): 335 (2020) - [i3]Kennedy E. Ehimwenma, Sujatha Krishnamoorthy:
Design and Analysis of a Multi-Agent E-Learning System Using Prometheus Design Tool. CoRR abs/2007.09645 (2020)
2010 – 2019
- 2017
- [b1]Kennedy E. Ehimwenma:
A multi-agent approach to adaptive learning using a structured ontology classification system. Sheffield Hallam University, UK, 2017 - 2016
- [j1]Kennedy Ehimwenma, Martin D. Beer, Paul Crowther:
Computational Estimate Visualisation and Evaluation of Agent Classified Rules Learning System. Int. J. Emerg. Technol. Learn. 11(1): 38-47 (2016) - [i2]Kennedy E. Ehimwenma, Paul Crowther, Martin D. Beer:
A system of serial computation for classified rules prediction in non-regular ontology trees. CoRR abs/1604.02323 (2016) - [i1]Kennedy E. Ehimwenma, Martin D. Beer, Paul Crowther:
Computational Estimate Visualisation and Evaluation of Agent Classified Rules Learning System. CoRR abs/1605.08878 (2016) - 2014
- [c1]Kennedy Ehimwenma, Martin D. Beer, Paul Crowther:
Pre-assessment and Learning Recommendation Mechanism for a Multi-agent System. ICALT 2014: 122-123
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