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  • A hierarchical fusion framework for vehicle to grid energy management using predictive intelligence and learning based pricing

  • Shahriar, S., Al-Ali, A. R., Osman, A. H., Dhou, S. & Nijim, M. Prediction of EV charging behavior using machine learning. IEEE Access. 9, 111576–111586. https://doi.org/10.1109/ACCESS.2021.3103119 (2021).

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  • Domain-generalized person re-identification via refined neuron dropout and reciprocal-expansion re-ranking

    Domain-generalized person re-identification via refined neuron dropout and reciprocal-expansion re-ranking

  • Ye, M. et al. Deep learning for person Re-identification: A survey and outlook. IEEE Trans. Pattern Anal. Mach. Intell., 1–1, (2021).

  • Nguyen, V. D. et al. Jun., Tackling Domain Shifts in Person Re-Identification: A Survey and Analysis, 2022…

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  • Optimization and accuracy analysis of track straightness measurement based on total station free station method

  • Junfeng, Z. & Yanyan, W. Error analysis on guideway straightness of machine tool based on EST. Mach. Tool. Hydraul. 38 (3), 46–49 (2010).

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  • Liu, Y., Hao, Z. W. & Ren, T. T. Inspection of large…

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  • Hybrid net powered large scale audit of dataset licensing and attribution practices for enhanced transparency and compliance

    Hybrid net powered large scale audit of dataset licensing and attribution practices for enhanced transparency and compliance

    The proposed methodology employs the HybridNet model, a blend of both RoBERTa for NLP and InceptionV3 for CV, to carry out an audit on extensive licensing and attribution of datasets. Licensing terms and other attribution statements are textual…

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  • Optimization of terahertz broadband polarization insensitive metamaterial absorber using bisecting rectangles technique based on quadratic surrogates

  • Smith, D. R., Padilla, W. J., Vier, D. C., Nemat-Nasser, S. C. & Schultz, S. Composite medium with simultaneously negative permeability and permittivity. Phys. Rev. Lett. 84, 4184–4187 (2000).

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  • The efficiency paradox of discharge masking head loss in run-of-river hydropower generation

  • IEA, I. E. A. E. E. & Indicators Mar doi: https://doi.org/10.1787/615d9e12-en. (2022).

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  • Turner, S. W. D., Ng, J. Y. & Galelli, S. Examining global electricity supply vulnerability to climate…

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  • Advancing sports performance evaluation through T spherical fuzzy FUCA MCDM approach to real time basketball analytics

  • Zadeh, L. A. Fuzzy sets. Inf. Control. 8, 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X (1965).

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  • Atanassov, K. T. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96.

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  • Iterative multiblock framework for high frequency EEG based neurological disorder detection

  • Shi, W. et al. Removal of ocular and muscular artifacts from Multi-Channel EEG using improved Spatial frequency filtering. IEEE J. Biomedical Health Inf. 28 (6), 3466–3477. https://doi.org/10.1109/JBHI.2024.3378980 (2024).

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  • Modular Harris Hawks optimization with trend-guided differential evolution and Gaussian exploration for global optimization and engineering design

  • Heidari, A. A. et al. Harris Hawks optimization: algorithm and applications. Future Gener Comp. Sy. 97 https://doi.org/10.1016/j.future.2019.02.028 (2019).

  • LEFEBVRE, L., WHITTLE, P. & LASCARIS, E. Feeding innovations and forebrain size in birds….

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