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    Knowledge-based reactive planning and re-planning – a case-study approach by Djemai, Ramzi, Vassilev, Vassil, Ouazzane, Karim, Dey, Maitreyee

    Published 2024
    “…Planning for uncertainties arising from indoor evacuations can be complex as there’s a fine balance to strike between a too-detailed plan and one that’s too vague. …”
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    Conference or Workshop Item
  3. 123

    H∞ gain-scheduled dynamic output feedback control with transient performance applied to electrical microgrid by Fuentes, R. M., Lacerda, Marcio J., Morais, C. F., Oliveira, R. C. L. F., Palma, J. M.

    Published 2024
    “…We achieve this by employing changes in variables and congruence transformations, which lead to new synthesis conditions expressed as linear matrix inequalities. Additional fine-tuned scalar parameters can be used to enhance further the controller performance in terms of less conservative H-infinity guaranteed costs. …”
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    Article
  4. 124

    Determinants of online brand communities’ and millennials’ characteristics: a social influence perspective by Ozuem, Wilson, Willis, Michelle, Howell, Kerry, Lancaster, Geoff, Ng, Raye

    Published 2021
    “…Drawing on social influence theory along with a constructivist perspective, we conducted fine‐grained in‐depth interviews to explore millennials’ participation in online communities and brand perceptions in the fashion industry. …”
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    Article
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    Posttraumatic growth as a discursive resource for managing identity after breast cancer : implications for theory, and counselling psychology practice by Hitchins, Jennifer Marie

    Published 2015
    “…The analysis highlights the fine grained features of the women's talk as they manage their post-cancer identities discursively negotiating the social and moral obligation to survive well. …”
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    Thesis
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    Revolutionizing intrusion detection in industrial IoT with distributed learning and deep generative techniques by Hamouda, Djallel, Ferrag, Mohamed Amine, Nadjette, Benhamida, Hamid, Seridi, Ghanem, Mohamed Chahine

    Published 2024
    “…Concurrently, we address the issues of imbalanced and distributed data and deploy a data curation technique to align generated data within specific constraints. 2) A secondary model fine-tunes local Critics for enhanced resilience and detection of various adversarial attacks. 3) The third model focuses on precise cyber threat identification, leveraging augmented data for improved training under a synthetic federated learning schema, bolstering detection capability, especially against zero-day threats. …”
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    Article
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