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  1. 781

    PART II –DETERMINING THE OPTIMAL DEBT IN CONDITIONS OF CONTINUOUS TRANSPORT WITH BAND by Nicoleta-Maria MIHUT

    Published 2012-05-01
    “…Then, the issue of obtaining the maximum capacity through speed adjustmentdepending on the gradient is being analyzed. …”
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    Article
  2. 782

    Specifics of scientific research in sports medicine at the present stage by E. L. Mikhalyuk

    Published 2015-10-01
    “…This article consistently addresses issues related to medical examinations of sportsmen, sports terms use, such as «untrained person». …”
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    Article
  3. 783

    A Genetic QoS-Aware Routing Protocol for the Smart Electricity Networks by Agustin Zaballos, David Vernet, Josep M. Selga

    Published 2013-09-01
    “…A suitable parameterization of the GA parameters is needed in order to use this protocol in the coming Smart Grid networks. …”
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  4. 784
  5. 785

    An Adaptive Control Strategy for a Virtual Synchronous Generator Based on Exponential Inertia and Nonlinear Damping by Huiguang Pian, Keqilao Meng, Hua Li, Yongjiang Liu, Zhi Li, Ligang Jiang

    Published 2025-07-01
    “…The increasing incorporation of renewable energy into power grids has significantly reduced system inertia and damping, posing challenges to frequency stability and power quality. To address this issue, an adaptive virtual synchronous generator (VSG) control strategy is proposed, which dynamically adjusts virtual inertia and damping in response to real-time frequency variations. …”
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  6. 786

    Layered energy equalization structure for series battery pack based on multiple optimal matching by Jianfang Jiao, Hongwei Wang, Feng Gao, Serdar Coskun, Guang Wang, Jiale Xie, Fei Feng

    Published 2025-04-01
    “…In addition, a fuzzy controller that can dynamically adjust the equalization current with the state parameter of the cell as the input condition is designed to optimize the equalization efficiency. …”
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  7. 787
  8. 788

    Marked point process variational autoencoder with applications to unsorted spiking activities. by Ryohei Shibue, Tomoharu Iwata

    Published 2024-12-01
    “…With our model, we derive a new log-likelihood lower bound by exploiting the variational evidence lower bound and upper bound (e.g., the χ upper bound) and use this new lower bound for parameter estimation. To demonstrate the strength of this approach, we integrate our model into a state space model with a nonlinear embedding to capture the hidden state dynamics underlying the observed covariates and unsorted spikes. …”
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  9. 789

    A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification by Lilu Wang, Yongqi Li, Haiyuan Liu, Taihui Liu

    Published 2025-07-01
    “…This limitation hinders their deployment on resource-constrained edge devices. To address this issue, we propose TBiGNet, a lightweight Transformer-based classification network model for RUL prediction. …”
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  10. 790

    Field inversion and machine learning based on the Rubber–Band Spalart–Allmaras Model by Chenyu Wu, Yufei Zhang

    Published 2025-03-01
    “…This improvement is achieved by leveraging complex ML models, such as those developed using field inversion and machine learning (FIML), to dynamically adjust the constants within the baseline RANS model. …”
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  11. 791

    Enhanced Model Predictive Control Using State Variable Feedback for Steady-State Error Cancellation by Marcos Andreu, Jaime Rohten, José Espinoza, José Silva, Esteban Pulido, Lesyani Leon

    Published 2024-09-01
    “…In scenarios with uncertain system parameters, steady-state errors can particularly impact reactive power regulation, where the absence of an integral term in the loop exacerbates this issue. …”
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  12. 792
  13. 793

    A new adaptive fractional-order fuzzy control method for time-varying fractional-order networks in the presence of external disturbances: Nanopositioning and chaotic applications by Reza Behinfaraz, Amir Aminzadeh Ghavifekr

    Published 2025-09-01
    “…Adaptive control of fractional-order dynamical networks with variable structures is investigated in this paper. …”
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  14. 794

    Research on the variation in the Shields curve of silt initiation by Qi Qinghui, Dong Peihua, Qu Hongling

    Published 2025-02-01
    “…The sediment particles on muddy coasts are relatively fine, and they are easy to move under the dynamic action of wave power, which can easily cause sedimentation problems in port channels. …”
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  15. 795

    Vacant Urban Spaces: Definitions, Challenges and Perspectives in Urban Regeneration by Amine Mseddi

    Published 2020-06-01
    “…This phenomenon could be perceived from different perspectives from urbanists, and landscapers to architects, geographers, environmentalists and sociologists. Multiple data, parameters and definitions are in play. This multidisciplinarity produces an issue of terminology in the scientific body related to urbanism and landscape architecture. …”
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  16. 796

    Social Networks Link Prediction Based on Incremental Learning by Jian SHU, Zhichen CHEN

    Published 2025-03-01
    “…The heterogeneity and dynamic topology pose significant challenges for link prediction. …”
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  17. 797

    A link prediction approach based on deep learning for opportunistic sensor network by Jian Shu, Qifan Chen, Linlan Liu, Lei Xu

    Published 2017-04-01
    “…However, the inherent dynamic nature of opportunistic sensor network makes it a challenging issue to ensure quality of service in opportunistic sensor network. …”
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  18. 798

    ATKB-PID: an adaptive control method for micro tension under complex hot rolling conditions by Xinkai Xu, Xiangrong Song, Zheng Qi

    Published 2025-01-01
    “…To address this issue, this paper introduces an ATKB-PID adaptive micro tension control method. …”
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  19. 799

    Longitudinal serum chloride trajectories and their correlation with all-cause mortality in critically Ill sepsis patients: a retrospective cohort analysis by Min Lei, Mingyue Ma, Yaping Zhang, Nianqiang Hu, Junran Xie

    Published 2025-07-01
    “…However, previous studies have primarily relied on single time-point measurements, which fail to capture the dynamic changes in chloride levels during sepsis progression. …”
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  20. 800

    Optimal control strategy on hybrid energy storage systems to improve system inertia for a bipolar DC microgrid by Yuechao Ma, Guangchen Liu, Hongbin Hu, Jun Tao, Yu Xu

    Published 2025-06-01
    “…Furthermore, to improve the entire system inertia in a bipolar DC microgrid and solve the paradox between the inertia improvement and the lag in the dynamic response speed, a particle swarm algorithm is adopted to joint optimize the parameters of the 2 VDCGs. …”
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