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Kennedy E. Ehimwenma, PhD
Kennedy E. Ehimwenma, PhD
https://orcid.org/0000-0002-7616-9342; Lecturer Computer Science, Wenzhou-Kean University
Geverifieerd e-mailadres voor kean.edu - Homepage
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Design and analysis of a multi-agent e-learning system using prometheus design tool
KE Ehimwenma, S Krishnamoorthy
arXiv preprint arXiv:2007.09645, 2020
102020
Formalizing logic based rules for skills classification and recommendation of learning materials
KE Ehimwenma, P Crowther, M Beer
International Journal of Information Technology and Computer Science, 2018
92018
Student modelling and classification rules learning for educational resource prediction in a multiagent system
KE Ehimwenma, M Beer, P Crowther
2015 7th Computer Science and Electronic Engineering Conference (CEEC), 59-64, 2015
92015
Optimal recycle price game theory model for second-hand mobile phone recycling
KE Ehimwenma, S Krishnamoorthy, Z Liu, Y Qiu, Y Liu, W Dou
Environmental Science and Pollution Research, 1-16, 2021
62021
Pre-assessment and learning recommendation mechanism for a multi-agent system
K Ehimwenma, M Beer, P Crowther
2014 IEEE 14th International Conference on Advanced Learning Technologies …, 2014
62014
Adaptive multiagent system for learning gap identification through semantic communication and classified rules learning
KE Ehimwenma, M Beer, P Crowther
7th International Conference on Computer Supported Education, 2015
52015
Computational estimate visualisation and evaluation of agent classified rules learning system
KE Ehimwenma, M Beer, P Crowther
arXiv preprint arXiv:1605.08878, 2016
32016
An SQL Domain Ontology Learning for Analyzing Hierarchies of Structures in Pre-Learning Assessment Agents
KE Ehimwenma, P Crowther, M Beer, S Al-Sharji
SN Computer Science 1 (6), 335, 2020
22020
A multi-agent approach to adaptive learning using a structured ontology classification system
KE Ehimwenma
PQDT-Global, 2017
22017
A system of serial computation for classified rules prediction in non-regular ontology trees
KE Ehimwenma, P Crowther, M Beer
arXiv preprint arXiv:1604.02323, 2016
22016
An agent based approach for improvised explosive device detection, public alertness and safety
KE Ehimwenma, P Crowther, L Alboul, M Beer, KJ Offor
2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring …, 2018
12018
Ontology engineering and modelling for learning activity in a multiagent system
KE Ehimwenma, M Beer, P Crowther
Proceedings of the 2014 First International Conference on Systems …, 2014
12014
A symbolic-arithmetic for teaching double-black node removal in red-black trees
KE Ehimwenma, J Wang, Z Zheng, H Zhou
arXiv preprint arXiv:2312.07566, 2023
2023
Embedded Multi-Agent Systems Functionality for Home Energy Optimization in IoT Devices
KE Ehimwenma, L Jinle, H Ji
2023 International Conference on Intelligent Computing and Next Generation …, 2023
2023
Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service?
A Al-Qasmi, H Al Shuaily, KE Ehimwenma, S Al Sharji
International Conference on Internet of Everything, 91-100, 2022
2022
DIFFERENCE OF PROBABILITY AND INFORMATION ENTROPY FOR SKILLS CLASSIFICATION AND PREDICTION IN STUDENT LEARNING
KE Ehimwenma, S Al Sharji, M Raheem
International Journal of Artificial Intelligence and Applications (IJAIA …, 2022
2022
Proposing goal refinement for multi-agent with agent UML tool for the control of explosive terror threats
KE Ehimwenma
2017
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Artikelen 1–17