Showing 21 - 40 results of 198 for search 'Research Excellence Framework', query time: 0.07s Refine Results
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    Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow by Mohammad Shamsuddoha, Eijaz Ahmed Khan, Md Maruf Hossan Chowdhury, Tasnuba Nasir

    Published 2025-01-01
    “…It provides a strategic framework for dealing with vulnerabilities, operational excellence, and resilient solutions. …”
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    Article
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    Impact of Covid-19 on Firm Performance: A Systematic Literature Review Using PRISMA Framework by Mahnoor Sattar, Rafayat Jalal

    Published 2024-12-01
    “…Following the PRISMA framework, this research analyzed relevant 60 articles published in ABDC ranked and SCOPUS indexed journals during 2020-2024. …”
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    Article
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    Evaluation of a national framework for rational use of medicines in Kazakhstan and its role in improving medicine use practices at the organizational and national levels by Gulzira Zhussupova, Ainur Aiypkhanova, Saule Zhaldybayeva, Dinara Satmbekova, Tamila Akhayeva, Sholpan Kaliyeva

    Published 2025-01-01
    “…In 2019 MoH established a national framework with indicators aimed at collecting qualitative and quantitative data from healthcare organizations as part of their annual self-evaluation, and biannual external evaluation by the National Research Center for Health Development (NRCHD). …”
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    Survey on the research progress of generative adversarial networks for 6G by Chanyuan MENG, Ke XIONG, Bo GAO, Yu ZHANG, Pingyi FAN

    Published 2024-03-01
    “…The deep integration of artificial intelligence (AI) and communication technology is the typical feature of the 6G network.On the one hand, AI injects new vitality into the development of the 6G network, which can effectively use the data generated by the historical operation of the network.It enables the network to be self-maintained and selfoptimized, and accelerates the process of network intelligence.On the other hand, the rich scenarios and IoT devices of the 6G network provide a large number of application fields and massive data for AI.These can enable the better deployment of AI, fully demonstrate the performance advantages of AI, and provide high-quality services for users.However, in practice, it is difficult to give full play to the performance advantages of AI due to the difficulty of sample collection, high cost of the collection, and lack of universality which caused by the complexity of the environment.Therefore, academia and industry introduce generative adversarial network (GAN) into the design of wireless networks.The powerful feature learning and feature expression ability of GAN can generate a large number of generated samples, which realizes the expansion of the wireless database.The introduction of GAN can effectively improve the generalization ability of AI models for wireless networks.Owing to the excellent performance of GAN, the generative model represented by GAN has attracted increased attention in the field of wireless networks, and rapidly became the new research hotspot of 6G networks.Firstly, the principle of GAN and its different versions of improved derived models were summarized.Then, the framework, advantages and disadvantages of each model were analyzed.Secondly, the research and application status of these models in wireless networks were reviewed.Finally, the research trends of GAN were proposed for the 6G network requirements, which provided some valuable exploration for future research.…”
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    Molecular dynamics simulations reveal efficient heavy metal ion removal by two-dimensional Cu-THQ metal-organic framework membrane by Jinjun Chen, Zonglin Gu, Jose Manuel Perez-Aguilar, Yanbo Luo, Kuifeng Tian, Yuqi Luo

    Published 2025-01-01
    “…Abstract Two-dimensional (2D) metal-organic frameworks (MOFs) have been extensively utilized across various research areas. …”
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    Article
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