Showing 3,001 - 3,020 results of 26,849 for search 'evaluation computing', query time: 0.21s Refine Results
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    Modeling and evaluation of information systems using coloured petri network by Ehsan Zamirpour, Ali Harounabadi, Seyed Javad Mirabedini

    Published 2014-07-01
    “…In this paper, we present a formal model for the evaluation of system performance based on a pragmatic model. …”
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  4. 3004

    Research of trust evaluation model based on dynamic Bayesian network by Hong-quan LIANG, Wei WU

    Published 2013-09-01
    “…Trust evaluation model needs to be developed for trusted network.Based on interpersonal trust model in sociology,the trusted relationship between network nodes was researched,and a trust evaluation model based on dynamic bayesian network associating with time factor as proposed.The impact of authentication and network interaction behavior was fully considered,and historical interaction window,timelin factor and penalty factor were introduced.Also,the polymerization method of the direct trust de ee and indirect trust degree was given,and the dynamic adaptive ability of the model was improved as well as the calculation of the sensitivity and accuracy.Furthermore,the threaten of abnormal entity was effectively suppressed.Experimental results show that this model computes the trust degree more sensitively and effecti ly as well as better dynamic adaptivity compared with the traditional bayesian network model.…”
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  5. 3005

    Plaseval: a framework for comparing and evaluating plasmid detection tools by Aniket Mane, Haley Sanderson, Aaron P. White, Rahat Zaheer, Robert Beiko, Cédric Chauve

    Published 2024-11-01
    “…This motivates the problem of evaluating the performances of plasmid binning methods, either against a given ground truth or between them. …”
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  6. 3006

    Unsupervised evaluation of pre-trained DNA language model embeddings by Raghav Awasthi, Gayan Samuditha Mend Mend Arachchige, Xiaofeng Zhu

    Published 2025-08-01
    “…Conclusion This study introduces a computationally efficient framework for evaluating DLMs. …”
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    Comparative analysis and evaluation of YOLO generations for banana bunch detection by Preety Baglat, Ahatsham Hayat, Sheikh Shanawaz Mostafa, Fábio Mendonça, Fernando Morgado-Dias

    Published 2025-12-01
    “…To address this challenge, this work proposes a computer vision-based approach for detecting banana bunches in images captured by mobile phones, as a preliminary step towards a comprehensive harvesting decision pipeline. …”
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    Analytical evaluation of the Uehling potential using binomial expansion theorems by Э. Чопуроглу, Т. Мехметоглу

    Published 2019-09-01
    “…As can be seen from table and figure, the newly derived analytical expression well avoids the computational difficulties. An evaluation analysis of the Uehling potential is reported for arbitrary values of parameters. …”
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    Performance Evaluating of Honeyword Generation Methods: Traditional versus AI by Shahad Abdulkhalik Alkazzaz, Saja Jasim Mohammed

    Published 2025-03-01
    “…As the number of people using computers has increased, the risks to digital systems have increased too. …”
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    Fuzzy logic expert system for evaluating the activity of university teachers by V. Florin Popescu, M. Sorin Pistol

    Published 2021-12-01
    “…Assessing the performance of academics at different levels is increasingly difficult to achieve using traditional methods based mainly on numerical scores in evaluating teaching and research activity. The indexing of academic performance in various international databases with impact indices at different scales has led to the need for advanced computer models, such as expert systems based on fuzzy logic, proposed in this research, which address the evaluation of teachers even in the face of imprecise information and under conditions of uncertainty. …”
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    Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

    Published 2025-01-01
    “…With the advancement of computer technologies, various data models and algorithms have been integrated into industrial processes, significantly improving the efficiency of anomaly detection in datasets while reducing time and energy consumption. …”
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