A Proposed Hybrid Deep Learning - Based Cognitive Digital Twin for Enhancing Supply Chain Resilience : A Thesis Submitted to the Graduate School of Innovative Design Engineering : Egypt - Japan University of Science and Technology (E - JUST) : In Partial Fulfilment of the Requirements for the Degree of Master of Science in Industrial Engineering and Systems Management / by Mahmoud Ashraf Mohamed Mahmoud
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TextLanguage: English Summary language: Arabic Publication details: Alexandria : Mahmoud Ashraf Mohamed Mahmoud 2023Description: leaves 87 : (illustrations (some color ; 30 cmOther title: - مقترح لتوأم رقمي إدراكي قائم على التعلم العميق الهجين لتعزيز مرونة سلسلة الإمداد / مقدمة من محمود أشرف محمد محمود للحصول على درجة ماجستير العلوم في الهندسة الصناعية و إدارة النظم [Added title page title]
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Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي | IME MSc. 2023 03 (Browse shelf(Opens below)) | C. 1 | Not for loan | 10013407 |
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Includes a title page in Arabic
Thesis (M.Sc.) Master Egypt - Japan University of Science and Technology (E-JUST) - School of Innovative Design Engineering - Industrial Engineering and Systems Management Department 2023
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(IDE) School of Innovative Design Engineering (IME) Industrial and Manufacturing Engineering
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