Showing 461 - 480 results of 19,039 for search 'framework evaluation', query time: 0.18s Refine Results
  1. 461

    Evaluation on AI-Generative Emotional Design Approach for Urban Vitality Spaces: A LoRA-Driven Framework and Empirical Research by Ruoshi Zhang, Xiaoqing Tang, Lifang Wu, Yuchen Wang, Xiaojing He, Mengjie Liu

    Published 2025-06-01
    “…This study establishes a comparative framework analyzing emotional attachment characteristics between LoRA-generated spatial designs and the real urban vitality space, using the representative case of THE BOX in Chaoyang, Beijing. …”
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  2. 462

    Design and evaluation of a community and impact‐based site‐specific early warning system (SS‐EWS): The SS‐EWS framework by Erika R. Meléndez‐Landaverde, Daniel Sempere‐Torres

    Published 2025-03-01
    “…This paper presents a community‐centred framework named ‘site‐specific early warning system’ (SS‐EWS) to co‐design and co‐evaluate with communities an IBEWS for vulnerable locations within high‐risk areas. …”
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  3. 463

    Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework by Yasemin Bridges, Vinicius de Souza, Katherina G. Cortes, Melissa Haendel, Nomi L. Harris, Daniel R. Korn, Nikolaos M. Marinakis, Nicolas Matentzoglu, James A. McLaughlin, Christopher J. Mungall, Aaron Odell, David Osumi-Sutherland, Peter N. Robinson, Damian Smedley, Julius O. B. Jacobsen

    Published 2025-03-01
    “…Results: In this paper, we present our benchmarking tool, PhEval, which aims to provide a standardised and empirical framework to evaluate phenotype-driven VGPAs. The inclusion of standardised test corpora and test corpus generation tools in the PhEval suite of tools allows open benchmarking and comparison of methods on standardised data sets. …”
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    The BERC-Luso project: Legislative, institutional, and educational impact evaluation by Jorge Pedro Barroso Batista, Maria Alexandra Ribeiro, Leonor Soares, Joana Araújo, Helder Mota Filipe, Maria do Céu Patrão Neves

    Published 2025-12-01
    “…The common aim was to create attractive conditions for conducting clinical trials, guaranteeing population protection and benefit of the country. The project evaluated national legislative frameworks and recommended strengthening actions. …”
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  9. 469

    Evaluation and optimization of carbon emission for federal edge intelligence network by Peng ZHANG, Yong XIAO, Jiwei HU, Liang LIAO, Jianxin LYU, Zegang BAI

    Published 2024-03-01
    “…In recent years, the continuous evolution of communication technology has led to a significant increase in energy consumption.With the widespread application and deep deployment of artificial intelligence (AI) technology and algorithms in telecommunication networks, the network architecture and technological evolution of network intelligent will pose even more severe challenges to the energy efficiency and emission reduction of future 6G.Federated edge intelligence (FEI), based on edge computing and distributed federated machine learning, has been widely acknowledged as one of the key pathway for implementing network native intelligence.However, evaluating and optimizing the comprehensive carbon emissions of federated edge intelligence networks remains a significant challenge.To address this issue, a framework and a method for assessing the carbon emissions of federated edge intelligence networks were proposed.Subsequently, three carbon emission optimization schemes for FEI networks were presented, including dynamic energy trading (DET), dynamic task allocation (DTA), and dynamic energy trading and task allocation (DETA).Finally, by utilizing a simulation network built on real hardware and employing real-world carbon intensity datasets, FEI networks lifecycle carbon emission experiments were conducted.The experimental results demonstrate that all three optimization schemes significantly reduce the carbon emissions of FEI networks under different scenarios and constraints.This provides a basis for the sustainable development of next-generation intelligent communication networks and the realization of low-carbon 6G networks.…”
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    SSLA: a semi-supervised framework for real-time injection detection and anomaly monitoring in cloud-based web applications with real-world implementation and evaluation by Seyed Salar Sefati, Bahman Arasteh, Octavian Fratu, Simona Halunga

    Published 2025-07-01
    “…This paper introduces a novel framework, the Semi-Supervised Log Analyzer (SSLA), designed for real-time injection detection and anomaly monitoring in cloud environments. …”
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    Integrating circular fuzzy approach with an interval valued EDAS approach to evaluate teaching effectiveness in virtual and augmented reality classrooms by Liguang Xu

    Published 2025-08-01
    “…This study introduces a new framework that integrates the circular interval-valued intuitionistic fuzzy (CIVIF) framework and the evaluation based on the distance from average solution (EDAS) method to assess teaching effectiveness in VR and AR classrooms. …”
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