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Recurrent neural network and reinforcement learning model for COVID-19 prediction. (2021)
Journal Article
RAMASAMY, L.K., KHAN, F., DIN, S., BAND, S.S., MOSAVI, A. and IBEKE, E. [2021]. Recurrent neural network and reinforcement learning model for COVID-19 prediction. Frontiers in public health [online], (accepted). To be made available from: https://doi.org/10.3389/fpubh.2021.744100

Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, and outcomes... Read More about Recurrent neural network and reinforcement learning model for COVID-19 prediction..

Optimal coordination of PSS and SSSC controllers in power system using ant colony optimization algorithm. (2021)
Journal Article
KAMARPOSHTI, M.A., COLAK, I., IWENDI, C., BAND, S.S. and IBEKE, E. [2021]. Optimal coordination of PSS and SSSC controllers in power system using ant colony optimization algorithm. Journal of circuits, systems and computers [online], (accepted).

Volatility leads to disruption in synchronism between generators of a continuous system. The frequency of the volatility is usually between a few tenths of Hz to several Hz. This volatility is sometimes divided into two types, local and interregional... Read More about Optimal coordination of PSS and SSSC controllers in power system using ant colony optimization algorithm..

Tackling pandemics in smart cities using machine learning architecture. (2021)
Journal Article
NGABO, D., DONG, W., IBEKE, E., IWENDI, C. and MASABO, E. [2021]. Tackling pandemics in smart cities using machine learning architecture. Mathematical biosciences and engineering [online], (accepted).

With the recent advancement in analytic techniques and the increasing generation of healthcare data, artificial intelligence (AI) is reinventing the healthcare system for tackling pandemics securely in smart cities. AI tools continue register numerou... Read More about Tackling pandemics in smart cities using machine learning architecture..

Pointer-based item-to-item collaborative filtering recommendation system using a machine learning model. (2021)
Journal Article
IWENDI, C., IBEKE, E., EGGONI, H., VELAGALA, S. and SRIVASTAVA, G. [2021]. Pointer-based item-to-item collaborative filtering recommendation system using a machine learning model. International journal of information technology and decision making [online], (accepted).

The advent of digital marketing has enabled companies to adopt personalized item recommendations for their customers. This process keeps them ahead of the competition. One of the techniques used in item recommendation is known as an item-based recomm... Read More about Pointer-based item-to-item collaborative filtering recommendation system using a machine learning model..

E-learning and COVID-19: the Nigerian experience: challenges of teaching technical courses in tertiary institutions. (2021)
Conference Proceeding
UGOCHUKWU-IBE, I.M. and IBEKE, E. 2021. E-learning and COVID-19: the Nigerian experience: challenges of teaching technical courses in tertiary institutions. In Xhina, E. and Hoxha, K. (eds.) Recent trends and applications in computer science and information technology: proceedings of 4th Recent trends and applications in computer science and information technology international conference 2021 (RTA-CSIT 2021), 21-22 May 2021 [virtual conference]. CEUR workshop proceedings, 2872. Aachen: CEUR-WS [online], pages 46-51. Available from: http://ceur-ws.org/Vol-2872/paper07.pdf

This paper examines the challenges of teaching technical courses through e-learning in Nigerian tertiary institutions during the COVID-19 pandemic lockdown. The COVID-19 pandemic has widespread after-effect on education systems all over the world, wi... Read More about E-learning and COVID-19: the Nigerian experience: challenges of teaching technical courses in tertiary institutions..

An orchestrator for networked control systems and its application to collision avoidance in multiple mobile robots. (2021)
Journal Article
AGRAWAL, S., JAIN, S.K. and IBEKE, E. 2021. An orchestrator for networked control systems and its application to collision avoidance in multiple mobile robots. International journal of engineering systems modelling and simulation [online], 12(2/3): artificial intelligence-enabled computing system development, pages 103-110. Available from: https://doi.org/10.1504/IJESMS.2021.115531

Networked Control System (NCS) consists of controlled distributed nodes while an Orchestrator functions as a central coordinator for controlling the distributed tasks. The NCSs have challenges of coordination and right execution sequencing of operati... Read More about An orchestrator for networked control systems and its application to collision avoidance in multiple mobile robots..

An artificial intelligence based quorum system for the improvement of the lifespan of sensor networks. (2021)
Journal Article
PONNAN, S., SARAVANAN, A.K., IWENDI, C., IBEKE, E. and SRIVASTAVA, G. 2021. An artificial intelligence based quorum system for the improvement of the lifespan of sensor networks. IEEE sensors journal [online], 21(15), pages 17373-17385. Available from: https://doi.org/10.1109/JSEN.2021.3080217

Artificial Intelligence-based Quorum systems are used to solve the energy crisis in real-time wireless sensor networks. They tend to improve the coverage, connectivity, latency, and lifespan of the networks where millions of sensor nodes need to be d... Read More about An artificial intelligence based quorum system for the improvement of the lifespan of sensor networks..