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    Statistical Modeling of Wall Roughness and Its Influence on NLOS VLC Channels in Underground Mining by Sebastian Cornejo, Pablo Palacios Játiva, Cesar Azurdia Meza, Iván Sánchez

    Published 2025-02-01
    “…Simulation scenarios, parameterized with material reflectivity data from ASTM E423, explore the effects of statistical distributions (uniform, normal with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula> = 0.3, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>σ</mi></semantics></math></inline-formula> = 0.2; exponential <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>λ</mi></semantics></math></inline-formula> = 2; gamma <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula> = 0.5, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula> = 0.2) on power distribution, channel impulse response, and reflection coefficients. …”
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    The high-resolution global shipping emission inventory by the Shipping Emission Inventory Model (SEIM) by W. Yi, X. Wang, T. He, H. Liu, Z. Luo, Z. Lv, K. He

    Published 2025-01-01
    “…Our dataset, which is accessible at <a href="https://doi.org/10.5281/zenodo.10869014">https://doi.org/10.5281/zenodo.10869014</a> (Wen et al., 2024), provides a daily breakdown by vessel type and age; it is available for broad research purposes, and it will provide a solid data foundation for fine-scale scientific research and shipping emission mitigation.…”
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