Showing 861 - 880 results of 7,361 for search 'putout~', query time: 2.96s Refine Results
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    Buffer-aided multiple-antenna relay strategy for 5G systems by Jun ZHAN, Qifa YAN, Xiaohu TANG

    Published 2017-06-01
    Subjects: “…multiple-input multiple-output…”
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    Machine learning and Fuzzy logic fusion approach for osteoporosis risk prediction by Rabia Khushal, Dr. Ubaida Fatima

    Published 2025-06-01
    Subjects: “…Fuzzy data transformation technique using three variables, fuzzy machine learning logic model for crisp output…”
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    Data supporting the North Atlantic Climate System Integrated Study (ACSIS) programme, including atmospheric composition; oceanographic and sea-ice observations (2016–2022); and output from ocean, atmosphere, land, and sea-ice models (1950–2050) by A. T. Archibald, A. T. Archibald, B. Sinha, M. R. Russo, M. R. Russo, E. Matthews, F. A. Squires, N. L. Abraham, N. L. Abraham, S. J.-B. Bauguitte, T. J. Bannan, T. G. Bell, D. Berry, L. J. Carpenter, H. Coe, H. Coe, A. Coward, P. Edwards, P. Edwards, D. Feltham, D. Heard, J. Hopkins, J. Hopkins, J. Keeble, J. Keeble, E. C. Kent, B. A. King, I. R. Lawrence, I. R. Lawrence, J. Lee, J. Lee, C. R. Macintosh, A. Megann, B. I. Moat, K. Read, K. Read, C. Reed, M. J. Roberts, R. Schiemann, D. Schroeder, T. J. Smyth, L. Temple, N. Thamban, L. Whalley, L. Whalley, S. Williams, H. Wu, M. Yang

    Published 2025-01-01
    “…</p> <p>An ensemble of atmosphere-forced global-ocean sea-ice simulations using the NEMO-CICE model was performed with horizontal resolutions of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M11" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">1</mn><mo>/</mo><mn mathvariant="normal">4</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="20pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="8270cf1d94837d56f1244ae7c12882af"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="essd-17-135-2025-ie00001.svg" width="20pt" height="14pt" src="essd-17-135-2025-ie00001.png"/></svg:svg></span></span> and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M12" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">1</mn><mo>/</mo><mn mathvariant="normal">12</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="27pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="c362686f1e17bd47176c78966d2dff74"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="essd-17-135-2025-ie00002.svg" width="27pt" height="14pt" src="essd-17-135-2025-ie00002.png"/></svg:svg></span></span>° covering the period from 1958 to 2020 using several different atmosphere-reanalysis-based surface forcing datasets, supplemented by additional global simulations and stand-alone sea-ice model simulations with advanced sea-ice physics using the CICE model (<span class="uri">http://catalogue.ceda.ac.uk/uuid/770a885a8bc34d51ad71e87ef346d6a8</span>, Megann et al., 2021e). Output is stored as monthly averages and includes 3D potential temperature, salinity, zonal velocity, meridional velocity, and vertical velocity; 2D sea-surface height, mixed-layer depth, surface heat, and freshwater fluxes; ice concentration and thickness; and a wide variety of other variables.…”
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    Biological Science 1 & 2 / by Taylor, D. J.

    Published 1997
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