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  1. 4241

    Joint Antenna Selection and Precoding Optimization for Small-Cell Network with Minimum Power Consumption by Qiang Sun, Xin Wang, Jue Wang, Chen Xu

    Published 2017-01-01
    “…Moreover, we show that our optimization algorithms with DCAS have less power consumption than the other benchmark algorithms.…”
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  2. 4242

    Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

    Published 2025-04-01
    “…The non-negativity and boundedness are guaranteed by the computation of the fractional-order influenza system. …”
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  3. 4243

    Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

    Published 2025-01-01
    “…Furthermore, low-level optimization techniques like genetic algorithms as well as particle swarm optimization are used to fine tune the specific model parameters and to reduce the computational overhead for improving the detection efficacy still more. …”
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  4. 4244

    Personalization of AI-Based Digital Twins to Optimize Adaptation in Industrial Design and Manufacturing—Review by Izabela Rojek, Dariusz Mikołajewski, Ewa Dostatni, Jan Cybulski, Mirosław Kozielski

    Published 2025-07-01
    “…The key findings highlight the growing emphasis on scalable model architectures, multimodal data integration, and the use of high-performance computing platforms. While existing research has focused on model decomposition, structural optimization, and algorithmic integration, there remains a need for fast DT platforms that support diverse user requirements. …”
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    Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

    Published 2024-12-01
    “…To optimize this process of training data, Levenberg-Marquardt algorithm is applied; particularly beneficial for solving nonlinear fluid flow problems. …”
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    Improving the Performance of Electrotactile Brain–Computer Interface Using Machine Learning Methods on Multi-Channel Features of Somatosensory Event-Related Potentials by Marija Novičić, Olivera Djordjević, Vera Miler-Jerković, Ljubica Konstantinović, Andrej M. Savić

    Published 2024-12-01
    “…Traditional tactile brain–computer interfaces (BCIs), particularly those based on steady-state somatosensory–evoked potentials, face challenges such as lower accuracy, reduced bit rates, and the need for spatially distant stimulation points. …”
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  17. 4257

    Optimizing frequency stability with adaptive fast frequency reserves and Wide-Area Monitoring Systems by Bwandakassy Elenga Baningobera, Irina Oleinikova, Kjetil Uhlen

    Published 2025-10-01
    “…The Nordic 44 power system model is used with OPAL-RT for real-time simulation, Real-Time Automation Controller (RTAC), and protective relays to monitor, automate, protect, and control the system. The adaptive algorithm computes the frequency deviation, adjusts the control gain in real time, and recalculates the FFR activation thresholds and volumes accordingly. …”
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  18. 4258

    Delivering data: A real-world dataset for last-mile delivery optimizationZenodo by Anna Vrani, Savvas D. Apostolidis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos

    Published 2025-08-01
    “…The collected matrices were processed and structured for direct use in VRP algorithms.The dataset offers substantial reuse potential by serving as a benchmark for evaluating VRP algorithms, enabling the comparison of optimization methods based on real-world logistics problems. …”
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  19. 4259

    Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting by Ubaid Ahmed, Anzar Mahmood, Ahsan Raza Khan, Levin Kuhlmann, Khurram Saleem Alimgeer, Sohail Razzaq, Imran Aziz, Amin Hammad

    Published 2025-04-01
    “…However, DL models often demand substantial computational resources and large datasets, while DT algorithms lack generalizability. …”
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