Dr Joy Eze
Staff details
My research is an interdisciplinary field that leverages mathematical methods, data science, and health technology.
TBC
Academic qualifications
- PhD, Applied Computing, School of Computer Science and Technology, University Of Bedfordshire 2021
Publications and research outputs
Article
- Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain Eze, Joy; Duan, Yanqing; Eze, Elias; Ramanathan, Ramakrishnan and Ajmal, Tahmina. 2024. Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain. Scientific Reports, 14, 27228. ISSN 2045-2322
- Artificial intelligence support for 5G/6G-enabled Internet of Vehicles networks: An overview Eze, Elias and Eze, Joy. 2023. Artificial intelligence support for 5G/6G-enabled Internet of Vehicles networks: An overview. ITU Journal on Future and Evolving Technologies, 4(1), pp. 178-195. ISSN 2616-8375
- Design Optimization of Resource Allocation in OFDMA-Based Cognitive Radio-Enabled Internet of Vehicles (IoVs) Eze, Joy; Sijing, Zhang; Eze, Elias and Enjie, Liu. 2020. Design Optimization of Resource Allocation in OFDMA-Based Cognitive Radio-Enabled Internet of Vehicles (IoVs). Sensors, 20(21), 6402. ISSN 1424-8220
Conference or Workshop Item
- England: General Population Health Landscape Nunoo, Deborah and Eze, Joy. 2025. 'England: General Population Health Landscape'. In: 2024 International Conference on Decision Aid Sciences and Applications (DASA). Manama, Bahrain 11 - 12 December 2024.
- Effective Industrial Internet of Things Vulnerability Detection Using Machine Learning Nwakanma, Cosmas Ifeanyi; Chijioke Ahakonye, Love Allen; Nkechinyere Njoku, Judith; Eze, Joy and Kim, Dong-Seong. 2023. 'Effective Industrial Internet of Things Vulnerability Detection Using Machine Learning'. In: 2022 5th Information Technology for Education and Development (ITED). Abuja, Nigeria 1 - 3 November 2022.