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    Hybrid Population-Based Hill Climbing Algorithm for Generating Highly Nonlinear S-boxes by Oleksandr Kuznetsov, Nikolay Poluyanenko, Kateryna Kuznetsova, Emanuele Frontoni, Marco Arnesano

    Published 2024-12-01
    “…This paper provides detailed analysis of algorithm behavior, parameter sensitivity, and performance characteristics, supported by rigorous statistical evaluation. …”
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  4. 2544

    Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model by Ali Hasan Ali, Muhammad Amir, Jamshaid Ul Rahman, Ali Raza, Ghassan Ezzulddin Arif

    Published 2025-01-01
    “…We develop an MWNN-based fitness function to predict the dynamic behavior of nonlinear Vd-PM-DO differential equations. …”
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    Nonlinear prediction model of vehicle network traffic management based on the internet of things by Zhijie Peng, Lili Yin

    Published 2025-12-01
    “…While the system presented here paves the way for more intelligent, adaptive solutions to Urban Mobility to reduce congestion significantly and improve traffic management efficiency, there still exist issues regarding the acquisition of traffic data, the phenomenon of commuting behavior, and only rudimentary efforts to mathematically model passenger exposure.…”
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  12. 2552

    LAVID: A Lightweight and Autonomous Smart Camera System for Urban Violence Detection and Geolocation by Mohammed Azzakhnini, Houda Saidi, Ahmed Azough, Hamid Tairi, Hassan Qjidaa

    Published 2025-04-01
    “…We provide in this study a lightweight video-surveillance system consisting of low-cost autonomous smart cameras that are capable of detecting and identifying harmful behavior and geolocate violent acts that occur over a covered area in real-time. …”
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  13. 2553

    Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios. by Henrik Zunker, René Schmieding, David Kerkmann, Alain Schengen, Sophie Diexer, Rafael Mikolajczyk, Michael Meyer-Hermann, Martin J Kühn

    Published 2024-12-01
    “…By providing more reliable assessments on the efficacy of interventions, curtailing personal rights or human mobility behavior through interventions can be minimized. The proposed model is an advancement over traditional compartmental models, integrating explicit transmission on travel and commute, a factor available in agent-based models but often neglected with metapopulation models. …”
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    Grey Wolf Optimizer-Based ANNs to Predict the Compressive Strength of Self-Compacting Concrete by Amir Andalib, Babak Aminnejad, Alireza Lork

    Published 2022-01-01
    “…Furthermore, the complex relationship between mixed proportions and rheological and mechanical properties of SCC renders their behavior prediction challenging. Soft computing approaches have been shown to optimize and reduce uncertainties, and therefore in this paper, we aim to address these challenges by employing artificial neural network (ANN) models optimized using the grey wolf optimizer (GWO) algorithm. …”
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