يعرض 1 - 10 نتائج من 1,980 نتيجة بحث عن '"A, Afzal"', وقت الاستعلام: 1.69s تنقيح النتائج
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    مؤتمر

    المصدر: International Educational Data Mining Society. 2019.

    تمت مراجعته من قبل الزملاء: Y

    Page Count: 6

    Sponsoring Agency: National Science Foundation (NSF)

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    المساهمون: Modélisation et Recherche d’Information Multimédia Grenoble (MRIM), Laboratoire d'Informatique de Grenoble (LIG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)

    المصدر: Proceedings of TRECVid 2022 - arXiv 2306.13118 ; https://hal.science/hal-04444934Test ; Proceedings of TRECVid 2022 - arXiv 2306.13118, arXiv, 2023, ⟨10.48550/arXiv.2306.13118⟩

    العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2306.13118; hal-04444934; https://hal.science/hal-04444934Test; https://hal.science/hal-04444934/documentTest; https://hal.science/hal-04444934/file/2306.13118.pdfTest; ARXIV: 2306.13118

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    دورية أكاديمية

    المساهمون: Massachusetts Institute of Technology. Media Laboratory

    المصدر: Association for Computing Machinery

    وصف الملف: application/pdf

    العلاقة: https://doi.org/10.1145/3570361.3613275Test; https://hdl.handle.net/1721.1/152622Test; Afzal, Sayed Saad, Kludze, Atsutse, Karmakar, Subhajit, Chandra, Ranveer and Ghasempour, Yasaman. 2023. "AgriTera: Accurate Non-Invasive Fruit Ripeness Sensing via Sub-Terahertz Wireless Signals."; PUBLISHER_CC

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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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    المصدر: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

    وصف الملف: application/application/pdf

    العلاقة: info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-9346-8; info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-9347-5; info:eu-repo/semantics/altIdentifier/wos/000971500203090; http://hdl.handle.net/20.500.11850/593734Test; urn:isbn:978-1-6654-9346-8; urn:isbn:978-1-6654-9347-5

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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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