International Journal on Data Science and Technology

Volume 10, Issue 2, June 2024

  • Research Article

    Agent Based Intelligent System for Enhanced Teamwork Performance

    Chidi Ukamaka Betrand*, Oluchukwu Uzoamaka Ekwealor, Chinwe Gilean Onukwugha, Christopher Ifeanyi Ofoegbu, Obinna Banner Aliche, Evelyn Ogochukwu Ezuruka, Chukwuemeka Michael Okafor

    Issue: Volume 10, Issue 2, June 2024
    Pages: 18-25
    Received: 3 April 2024
    Accepted: 17 April 2024
    Published: 10 May 2024
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    Abstract: It is impossible to overstate the necessity of a strategic and practical approach in the workplace in order to maximize productivity these days. Teamwork is one of the best ways to adapt to the changes that have occurred in today's environment throughout time. In every industry, the optimum performance arrangement for realizing visions, carrying ou... Show More
  • Research Article

    Identification of MIMO Nonlinear Gaussian Time-Varying System Based on Multi-Dimensional Taylor Network Multi-Level Approximation

    Jiefei Li, Shaolin Hu*

    Issue: Volume 10, Issue 2, June 2024
    Pages: 26-37
    Received: 25 June 2024
    Accepted: 11 July 2024
    Published: 29 July 2024
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    Abstract: Aiming at the problems of identification difficulties and low identification accuracy in modelling and identification of multiple-input multiple-output (MIMO) nonlinear Gaussian time-varying systems, this paper proposes an identification scheme based on the step-by-step approximation of multidimensional Taylor network (MTN). The aim of this paper i... Show More
  • Research Article

    A Sentiment Analysis of News Articles Published Before and During the COVID-19 Pandemic

    Hugo Moises Montesinos-Yufa*, Emily Musgrove

    Issue: Volume 10, Issue 2, June 2024
    Pages: 38-44
    Received: 4 July 2024
    Accepted: 1 August 2024
    Published: 27 August 2024
    DOI: 10.11648/j.ijdst.20241002.13
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    Abstract: This study investigates the impact of the COVID-19 pandemic on the connotative language used in news articles, leveraging sentiment analysis to gauge shifts in societal attitudes and potential implications for mental health. Utilizing the statistical programming language R, we extracted and analyzed texts from 645 articles published before and duri... Show More