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An archetypal determination of mobile cloud computing for emergency applications using decision tree algorithm. (2023)
Journal Article
HAI, T., ZHOU, J., LU, Y., JAWAWI, D., WANG, D., SELVARAJAN, S., MANOHARAN, H. and IBEKE, E. 2023. An archetypal determination of mobile cloud computing for emergency applications using decision tree algorithm. Journal of cloud computing [online], 12, article 73. Available from: https://doi.org/10.1186/s13677-023-00449-z

Numerous users are experiencing unsafe communications due to the growth of big network mediums, where no node communication is detected in emergency scenarios. Many people find it difficult to communicate in emergency situations as a result of such c... Read More about An archetypal determination of mobile cloud computing for emergency applications using decision tree algorithm..

COVID-19 in the UK: sentiment and emotion analysis of Tweets over time. (2023)
Conference Proceeding
AMUJO, O., IBEKE, E. and IWENDI, C. [2023]. COVID-19 in the UK: sentiment and emotion analysis of Tweets over time. In Iwendi, C., Boulouard, Z. and Kryvinska, N. (eds.) Proceedings of ICACTCE'23 (International conference on advances in communication technology and computer engineering): new artificial intelligence and the Internet of things based perspective and solutions, 23-24 February 2023, Bolton UK. Lecture notes in networks and systems, 735. Cham: Springer [online], (forthcoming).

We performed an analysis of tweets concerning the COVID-19 pandemic in the UK over a two-year period, selecting fifteen timelines. Over 110,000 tweets were obtained from Twitter and analysed using BERT and Text2Emotions for sentiment and emotion anal... Read More about COVID-19 in the UK: sentiment and emotion analysis of Tweets over time..

Sentiment computation of UK-originated Covid-19 vaccine Tweets: a chronological analysis and news effect. (2023)
Journal Article
AMUJO, O., IBEKE, E., FUZI, R., OGARA, U. and IWENDI, C. 2023. Sentiment computation of UK-originated Covid-19 vaccine Tweets: a chronological analysis and news effect. Sustainability [online], 15(4), article 3212. Available from: https://doi.org/10.3390/su15043212

This study aimed to analyse public sentiments of UK-originated tweets related to COVID-19 vaccines, and it applied six chronological time periods, between January and December 2021. The dates were related to six BBC news reports about the most signif... Read More about Sentiment computation of UK-originated Covid-19 vaccine Tweets: a chronological analysis and news effect..

A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications. (2023)
Conference Proceeding
HAI, T., WANG, D., SEETHARAMAN, T., M, A., PM, S., SHARMA, V., IBEKE, E. and LIU, H. 2023. A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications. In Iwendi, C., Boulouard, Z. and Kryvinska, N. (eds.) Proceedings of ICACTCE'23 (International conference on advances in communication technology and computer engineering): new artificial intelligence and the Internet of things based perspective and solutions, 23-24 February 2023, Bolton UK. Lecture notes in networks and systems, 735. Cham: Springer [online], (forthcoming).

The very existence of smart cities forms the stepping stone in the evolution of many technological advancements in the future era. While smart cities have already grown in their way, the tremendous amount of data generated from them paves the way for... Read More about A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications..

Bibliometric analysis of scientific literature on mental health research in Africa. (2023)
Conference Proceeding
EGWUOGU, C., IBEKE, E., CHAURASIA, P. and IWENDI, C. [2023]. Bibliometric analysis of scientific literature on mental health research in Africa. In Iwendi, C., Boulouard, Z. and Kryvinska, N. (eds.) Proceedings of ICACTCE'23 (International conference on advances in communication technology and computer engineering): new artificial intelligence and the Internet of things based perspective and solutions, 23-24 February 2023, Bolton UK. Lecture notes in networks and systems, 735. Cham: Springer [online], (forthcoming).

This bibliometric study presents a comprehensive summary of literature published on mental health research in Africa. The region has a large number of scientific studies conducted in this area. The purpose of this study was to investigate the contrib... Read More about Bibliometric analysis of scientific literature on mental health research in Africa..

Voice spoofing countermeasure for voice replay attacks using deep learning. (2022)
Journal Article
ZHOU, J., HAI, T., JAWAWI, D.N.A., WANG, D., IBEKE, E. and BIAMBA, C. 2022. Voice spoofing countermeasure for voice replay attacks using deep learning. Journal of cloud computing: advances, systems and applications [online], 11, article number 51. Available from: https://doi.org/10.1186/s13677-022-00306-5

In our everyday lives, we communicate with each other using several means and channels of communication, as communication is crucial in the lives of humans. Listening and speaking are the primary forms of communication. For listening and speaking, th... Read More about Voice spoofing countermeasure for voice replay attacks using deep learning..

Fintech application on banking stability using big data of an emerging economy. (2022)
Journal Article
YIN, F., JIAO, X., ZHOU, J., YIN, X., IBEKE, E., IWENDI, M.G. and BIAMBA, C. 2022. Fintech application on banking stability using big data of an emerging economy. Journal of cloud computing [online], 11, article number 43. Available from: https://doi.org/10.1186/s13677-022-00320-7

The rapid growth and development of financial technological advancement (Fintech) services and innovations have attracted the attention of scholars who are now on a quest to analyse their impact on the banking sector. This study conducts several kind... Read More about Fintech application on banking stability using big data of an emerging economy..

Tourism cloud management system: the impact of smart tourism. (2022)
Journal Article
YIN, F., YIN, X., ZHOU, J., ZHANG, X., ZHANG, R., IBEKE, E., IWENDI, M.G. and SHAH, M. 2022. Tourism cloud management system: the impact of smart tourism. Journal of cloud computing: advances, systems and applications [online], 11, article number 37. Available from: https://doi.org/10.1186/s13677-022-00316-3

This study investigates the possibility of supporting tourists in a foreign land intelligently by using the Tourism Cloud Management System (TCMS) to enhance and better their tourism experience. Some technologies allow tourists to highlight popular t... Read More about Tourism cloud management system: the impact of smart tourism..

Covid-19 fake news sentiment analysis. (2022)
Journal Article
IWENDI, C., MOHAN, S., KHAN, S., IBEKE, E., AHMADIAN, A. and CIANO, T. 2022. COVID-19 fake news sentiment analysis. Computers and electrical engineering [online], 101, article 107967. Available from: https://doi.org/10.1016/j.compeleceng.2022.107967

’Fake news’ refers to the misinformation presented about issues or events, such as COVID-19. Meanwhile, social media giants claimed to take COVID-19 related misinformation seriously, however, they have been ineffectual. This research uses the Informa... Read More about Covid-19 fake news sentiment analysis..

Maintaining privacy for a recommender system diagnosis using blockchain and deep learning. (2022)
Journal Article
MANTEY, E.A., ZHOU, C., MANI, V., ARTHUR, J.K. and IBEKE, E. 2022. Maintaining privacy for a recommender system diagnosis using blockchain and deep learning. Human-centric computing and information science [online], (accepted).

The healthcare sector has been revolutionized by Blockchain and AI technologies. Artificial intelligence uses algorithms, recommender systems, decision-making abilities, and big data to display a patient's health records using blockchain. Healthcare... Read More about Maintaining privacy for a recommender system diagnosis using blockchain and deep learning..

Artificial intelligence (AI) for productivity: big data and AI in agriculture. (2022)
Presentation / Conference
IBEKE, E. and ADEBOLA, T. 2022. Artificial intelligence (AI) for productivity: big data and AI in agriculture. Presented at the 4th Adapting to a changing world seminar, 17 March 2022, [virtual event].

This seminar was the fourth of six seminars in the "Adapting to a Changing World" series, convened by Elimma Ezeani. This particular event focused on some of the issues around artificial intelligence in Africa, especially applications of Big Data and... Read More about Artificial intelligence (AI) for productivity: big data and AI in agriculture..

Smart analysis of learners performance using learning analytics for improving academic progression: a case study model. (2022)
Journal Article
KRISHNAN, R., NAIR, S., SAAMUEL, B.S., JUSTIN, S., IWENDI, C., BIAMBA, C. and IBEKE, E. 2022. Smart analysis of learners performance using learning analytics for improving academic progression: a case study model. Sustainability [online], 14(6), article 3378. Available from: https://doi.org/10.3390/su14063378

In the current COVID-19 pandemic era, Learning Management Systems (LMS) are commonly used in e-learning for various learning activities in Higher Education. Learning Analytics (LA) is an emerging area of LMS, which plays a vital role in tracking and... Read More about Smart analysis of learners performance using learning analytics for improving academic progression: a case study model..

An optimized machine learning and big data approach to crime detection. (2021)
Journal Article
PALANIVINAYAGAM, A., GOPAL, S.S., BHATTACHARYA, S., ANUMBE, N., IBEKE, E. and BIAMBA, C. 2021. An optimized machine learning and big data approach to crime detection. Wireless communications and mobile computing [online], 2021, article ID 5291528. Available from: https://doi.org/10.1155/2021/5291528

Crime detection is one of the most important research applications in machine learning. Identifying and reducing crime rates is crucial to developing a healthy society. Big Data techniques are applied to collect and analyse data: determine the requir... Read More about An optimized machine learning and big data approach to crime detection..

Recurrent neural network and reinforcement learning model for COVID-19 prediction. (2021)
Journal Article
KUMAR, R.L., 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], 9, article 744100. 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. 2022. Optimal coordination of PSS and SSSC controllers in power system using ant colony optimization algorithm. Journal of circuits, systems and computers [online], 31(4), article 2250060. Available from: https://doi.org/10.1142/S0218126622500608

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], 18(6): the advances in cybersecurity theory and applications, pages 8444-8461. Available from: https://doi.org/10.3934/mbe.2021418

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. 2022. Pointer-based item-to-item collaborative filtering recommendation system using a machine learning model. International journal of information technology and decision making [online], 21(1), pages 463-484. Available from: https://doi.org/10.1142/S0219622021500619

The creation 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 item-based recomme... Read More about Pointer-based item-to-item collaborative filtering recommendation system using a machine learning model..

Proceedings of the Adapting to a changing world seminar series. (2021)
Presentation / Conference
EZEANI, E., WIFA, E., IBEKE, E. and ADEBOLA, T. (eds.) 2022. Proceedings of the Adapting to a changing world seminar series, 17 June 2021 - 15 September 2022, [virtual event].

The changing face of global politics necessitates an urgent enquiry into how countries - particularly African countries - are adapting to these changes, in view of Africa's Agenda 2063. The "Adapting to a Changing World" series consisted of six onlin... Read More about Proceedings of the Adapting to a changing world seminar series..

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..