يعرض 1 - 10 نتائج من 256 نتيجة بحث عن '"Lloyd, Huw"', وقت الاستعلام: 0.92s تنقيح النتائج
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    دورية أكاديمية

    وصف الملف: text

    العلاقة: https://e-space.mmu.ac.uk/634033Test/; http://dx.doi.org/10.1109/access.2024.3352017Test; https://e-space.mmu.ac.uk/634033/9/A_Generic_Performance_Model_for_Deep_Learning_in_a_Distributed_Environment.pdfTest; Kavarakuntla, Tulasi , Han, Liangxiu ORCID logoorcid:0000-0003-2491-7473 , Lloyd, Huw ORCID logoorcid:0000-0001-6537-4036 , Latham, Annabel ORCID logoorcid:0000-0002-8410-7950 , Kleerekoper, Anthony ORCID logoorcid:0000-0002-3621-8568 and Akintoye, Samson B ORCID logoorcid:0000-0001-5058-433X (2024) A generic performance model for deep learning in a distributed environment. IEEE Access, 12. pp. 8207-8219. ISSN 2169-3536

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    وصف الملف: text

    العلاقة: https://e-space.mmu.ac.uk/633363Test/; https://doi.org/10.1109/IIT59782.2023.10366490Test; https://e-space.mmu.ac.uk/633363/1/1570956480%20final%20%284%29.pdfTest; Nneke, Ngozi , Lloyd, Huw and Crockett, Keeley ORCID logoorcid:0000-0003-1941-6201 (2023) Quantification of explainability in black box models using complexity measures. In: 2023 15th International Conference on Innovations in Information Technology (IIT), 14 November 2023 - 15 November 2023, College of Information Technology (CIT), United Arab Emirates University.

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    دورية أكاديمية

    وصف الملف: text

    العلاقة: https://e-space.mmu.ac.uk/632478Test/; http://dx.doi.org/10.1016/j.future.2023.07.043Test; https://e-space.mmu.ac.uk/632478/8/1-s2.0-S0167739X2300300X-main.pdfTest; Akintoye, Samson B , Han, Liangxiu ORCID logoorcid:0000-0003-2491-7473 , Lloyd, Huw ORCID logoorcid:0000-0001-6537-4036 , Zhang, Xin ORCID logoorcid:0000-0001-7844-593X , Dancey, Darren , Chen, Haoming and Zhang, Daoqiang (2023) Layer-wise partitioning and merging for efficient and scalable deep learning. Future Generation Computer Systems, 149. pp. 432-444. ISSN 0167-739X

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    دورية أكاديمية

    وصف الملف: text

    العلاقة: https://e-space.mmu.ac.uk/631899Test/; https://ieeexplore.ieee.org/document/10132416Test; https://e-space.mmu.ac.uk/631899/1/IEEE_Machine_Learning_and_Anxiety_Paper.pdfTest; Henry, John ORCID logoorcid:0000-0003-3674-8208 , Lloyd, Huw ORCID logoorcid:0000-0001-6537-4036 , Turner, Martin ORCID logoorcid:0000-0003-1975-5561 and Kendrick, Connah (2023) On the robustness of machine learning models for stress and anxiety recognition from heart activity signals. IEEE Sensors Journal. ISSN 1530-437X

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    دورية أكاديمية

    المؤلفون: Lloyd, Huw

    وصف الملف: text

    العلاقة: https://e-space.mmu.ac.uk/631895Test/; https://doi.org/10.3390/d15040520Test; https://e-space.mmu.ac.uk/631895/1Test/Lloyd%20H%202023%20Introduction%20to%20the%20Special%20Edition.pdf; Lloyd, Huw (2023) Editorial: Avian ecology and diversity, population monitoring and conservation: introduction to the Special Issue. Diversity, 15 (4). p. 520. ISSN 1424-2818

    الإتاحة: https://doi.org/10.3390/d15040520Test
    https://e-space.mmu.ac.uk/631895/1Test/Lloyd%20H%202023%20Introduction%20to%20the%20Special%20Edition.pdf