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 /
Mahmoud , Mahmoud Ashraf Mohamed
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 / 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 by Mahmoud Ashraf Mohamed Mahmoud - Alexandria : Mahmoud Ashraf Mohamed Mahmoud 2023 - leaves 87 : (illustrations (some color ; 30 cm
Includes a title page in Arabic
Thesis (M.Sc.)
.
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 / 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 by Mahmoud Ashraf Mohamed Mahmoud - Alexandria : Mahmoud Ashraf Mohamed Mahmoud 2023 - leaves 87 : (illustrations (some color ; 30 cm
Includes a title page in Arabic
Thesis (M.Sc.)
.