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  • Information-centric mobile networks: a survey, discussion, and future research directions

    Fayyaz, Sana; Ur Rehman, Muhammad Atif; Salah Ud Din, Muhammad; Biswas, Md Israfil; Bashir, Ali Kashif; Kim, Byung-Seo; Hongik University; Manchester Metropolitan University (Institute of Electrical and Electronics Engineers Inc., 2023-04-20)
    Information-centric networking (ICN) and its fruition, the named data networking (NDN) is a paradigm shift from host-centric address-based communication architecture to the content-centric name-based one. ICN intends to resolve various major issues faced by today's internet architecture such as privacy, security, consistent routing, and mobility, to name a few. With the massive increase of mobile data traffic in today's era, mobility is one of the major concerns in networking. On the one hand, ICN realization i.e., the NDN follows a pull-based communication model and natively supports the consumer (end-user) mobility in wired networks by maintaining the forwarding states on intermediate nodes. Nevertheless, the mobile consumer nodes confront issues in wireless networking environments such as excessive energy consumption as a result of request flooding, content retrieval delays due to intermittent connectivity, and bandwidth consumption due to the broadcasting nature of the wireless medium, among others. The p
  • An investigation on machine learning models for enhanced thyroid prediction

    Biswas, Md Israfil; Feng, Xiaohua; Ur Rehman, Muhammad Habib; Ihsan, Mansoor; Bashir, Ali Kashif (2024-11-06)
  • Predictive modelling of Air Quality Index (AQI) across diverse cities and states of India using machine learning: investigating the influence of Punjab's stubble burning on AQI variability

    Sidhu, Kamaljeet Kaur; Balogun, Habeeb; Oseni, Kazeem Oluwakemi; University of Westminster; University of Bedfordshire (International Journal of Managing Information Technology, 2024-03-06)
    Air pollution is a common and serious problem nowadays and it cannot be ignored as it has harmful impacts on human health. To address this issue proactively, people should be aware of their surroundings, which means the environment where they survive. With this motive, this research has predicted the AQI based on different air pollutant concentrations in the atmosphere. The dataset used for this research has been taken from the official website of CPCB. The dataset has the air pollutant concentration from 22 different monitoring stations in different cities of Delhi, Haryana, and Punjab. This data is checked for null values and outliers. But, the most important thing to note is the correct understanding and imputation of such values rather than ignoring or doing wrong imputation. The time series data has been used in this research which is tested for stationarity using The Dickey-Fuller test. Further different ML models like CatBoost, XGBoost, Random Forest, SVM regressor, time series model SARIMAX, and deep
  • Barriers facing e-service technology in developing countries: a structured literature review with Nigeria as a case study

    Oseni, Kazeem Oluwakemi; Dingley, Kate; Hart, Penny; University of Portsmouth (IEEE, 2016-01-04)
    E-Government services adoption rate is rapidly increasingly in the developing and lower-middle-income countries for promoting good governance capability and accountability of public organisations. E-Government services are helping to boost government revenue, very fast and secured transactions, reduce corruption through the use of modern technology and transparent operations. It is imperative to state that the e-Service in an e-Governance domain has been gaining more attention over past two decades. This paper will examine a structured literature review (SLR) of the barriers facing E-Service Technology in developing countries with Nigeria as a case study. In this study, the use of a structured literature review gives rise to reviewing papers from conferences on Google Scholar between 2009 and 2014. A total of 3100 papers were reviewed using content analysis and 68 papers from Google Scholar after careful filtering, classification and analysis met the inclusion criteria for barriers facing E-Service adoption a

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