Decentralised Artificial Intelligence and Control Systems (DAICS)
Design and Analysis of Control Systems: Driving the Fourth Industrial Revolution
Written to inspire and cultivate the ability to design and analyse feasible control algorithms for a wide range of engineering applications, this comprehensive text covers the theoretical and practical principles involved in the design and analysis of control systems. This second edition introduces 4IR adoption strategies for traditional intelligent control, including new techniques of implementing
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Maximising Impact: How to Publish High-Impact AI Research
Maximising Impact: How to Publish High-Impact AI Research 11h00 – 12h30 5 June 2024 Register here The Taylor & Francis Group in collaboration with the Institute for the Future of Knowledge hosted an exclusive workshop titled “Maximising Impact: How to Publish High-Impact AI Research.” In this session, we focused on “How to publish Scholarly Books
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Book Launch: Design and Analysis of Control Systems: Driving the Fourth Industrial Revolution
Decentralised Artificial Intelligence and Control Systems 18h00 – 20h00 20 May 2024 Register here Physical Venue: Ubuntu Chambers Conference Room, 2nd Floor, Madibeng, Auckland Park Kingsway Campus, UJ Online via Zoom: https://zoom.us/webinar/register/WN_6O_MVQFwTlOWN8Ol1qN9rg RSVP For more information and attendance confirmation, please contact Ms Thandeka Nomvele at tnomvele@uj.ac.za (tel: 011 559 7213). Share this post: Share on
The implications of ChatGPT in teaching and learning
Artificial Intelligence (AI) has emerged as a transformative force driving the Fourth Industrial Revolution (4IR). The tech empowers us to analyse more efficiently complex data, integrate information, and assist us in decision-making with unparalleled precision. In the realm of education, AI-driven tools are not only revolutionising traditional teaching methods but also reconfiguring the essence of
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The Implications of AI Tools in Teaching and Learning: A case of ChatGPT
Dr Anthony Kaziboni, Head of Research at IFK, discusses the purpose and outcomes of the public lecture: The Implications of AI Tools in Teaching and Learning: A Case of ChatGPT on Talk 702: Afternoon Drive with John Maytham. Listen now
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Optimum Power Flow with Respect to the Capacitor Location and Size in Distribution Network
Processes Volume 10, 2022 – Issue 12 Abstract In the past few decades, there has been increasing recognition of the importance of optimum power flow (OPF) studies in the context of economic analyses of power systems. There is a need for power system development to maximize efficiency by emphasizing cost and power losses for smart
Challenges Associated with Hybrid Energy Systems: An Artificial Intelligence Solution
Energy Reports Volume 9, 2023 Abstract Hybrid Energy Systems (HES) combine multiple energy sources to maximize energy efficiency. Due to the unpredictability and dependence on the weather, integrating renewable energy sources (RES) is a viable option for distributed distribution (DG). To minimize environmental impact and meet the increasing energy demand–supply gap, scientists need to find
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Some Novel Mathematical Analysis on the Fractional‐Order 2019‐nCoV Dynamical Model
Mathematical Methods in the Applied Sciences Volume 46, 2023 – Issue 4 Abstract Since December 2019, the whole world has been facing the big challenge of Covid-19 or 2019-nCoV. Some nations have controlled or are controlling the spread of this virus strongly, but some countries are in big trouble because of their poor control strategies.
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Some Novel Mathematical Analysis on the Fractal–fractional Model of the AH1N1/09 Virus and its Generalized Caputo-type Version
Chaos, Solitons & Fractals Volume 162 Abstract In this paper, we formulate a new model of a particular type of influenza virus called AH1N1/09 in the framework of the four classes consisting of susceptible, exposed, infectious and recovered people. For the firsttime, we here investigate this model with the help of the advanced operators entitled