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    المساهمون: Physical Science and Engineering (PSE) Division, Data Analytics and Al, Energy, Water and Food, NEOM, Riyadh, Saudi Arabia

    وصف الملف: application/pdf

    العلاقة: https://diglib.eg.org/handle/10.2312/eurova20231096Test; Pammi, R. P., Afzal, S., Dasari, H. P., Yousaf, M., Ghani, S., Venkatraman, M. S. S., & Hoteit, I. (2023). A Visual Analytics Framework for Renewable Energy Profiling and Resource Planning . The Eurographics Association. https://doi.org/10.2312/EUROVA.20231096Test; 2-s2.0-85170578600; 49-54; http://hdl.handle.net/10754/694452Test; 2023-June

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    المساهمون: This work was financially supported in part by Science Foundation Ireland Grant Agreements #13/RC/2106-P2 and 19/FFP/6772 at the ADAPT SFI Research Centre at TU Dublin. The ADAPT SFI Centre for Digital Media Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF).

    المصدر: Conference Papers

    وصف الملف: application/pdf

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