Showing 561 - 580 results of 2,006 for search 'decision three classification model', query time: 0.19s Refine Results
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    Evolutionary-Driven Convolutional Deep Belief Network for the Classification of Macular Edema in Retinal Fundus Images by Rafael A. García-Ramírez, Ivan Cruz-Aceves, Arturo Hernández-Aguirre, Gloria P. Trujillo-Sánchez, Martha A. Hernandez-González

    Published 2025-04-01
    “…Additionally, a Real-Coded Genetic Algorithm optimizes the parameters of Gabor filters and the network, ensuring optimal feature extraction and classification performance. Experimental results demonstrate that the proposed CDBN outperforms comparative models, achieving an F1 score of 0.9258. …”
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    Federated Learning for Privacy-Preserving Severity Classification in Healthcare: A Secure Edge-Aggregated Approach by Ankita Maurya, Rahul Haripriya, Manish Pandey, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

    Published 2025-01-01
    “…Performance metrics were reported with statistical confidence, standard deviation and 95% confidence intervals across five independent runs per model. The proposed framework demonstrates high classification accuracy, scalability across clients, and improved resilience to data heterogeneity and communication noise. …”
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    Transfer learning for accurate brain tumor classification in MRI: a step forward in medical diagnostics by Muhammad Adnan Khan, Muhammad Zahid Hussain, Shahid Mehmood, Muhammad Farhan Khan, Munir Ahmad, Tehseen Mazhar, Tariq Shahzad, Mamoon M. Saeed

    Published 2025-06-01
    “…The GoogleNet model achieves the highest classification accuracy of 99.2%, outperforming previous studies using the same dataset. …”
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    Decision Support System for Evaluating Corpus-Based Word Lists for Use in English Language Teaching Contexts by Ruoxi Yin, Chunmei Zhu, Jiuyang Zhu

    Published 2025-01-01
    “…The results indicate that the DSS achieves significantly higher ranking accuracy (mrr: 0.89, ndcg: 0.85) and improves classification performance (f1-score: 87.3%), ensuring that highly relevant words appear earlier in ranked lists. …”
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    Methodological aspects of goal-setting upon transition to digital economy by Alexander V. Boychenko, Olga V. Lukinova

    Published 2018-08-01
    “…The classification scheme of the possible purposes and risks accompanying creation of digital economy is developed.It is emphasized that decisions at creation of digital economy are made in extremely uncertain situation in this connection, the conceptual model of decision-making process including is presented:1. …”
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    Neural decoding of Aristotle tactile illusion using deep learning-based fMRI classification by Eunji Lee, Eunji Lee, Ji-Hyun Kim, Jaeseok Park, Jaeseok Park, Sung-Phil Kim, Taehoon Shin, Taehoon Shin, Taehoon Shin

    Published 2025-06-01
    “…For stimulus-based classification tasks, all CNN models yielded accuracies around 50% failing to distinguish among the three types of applied stimuli. …”
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    Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis by Jaehyuk Lee, Eunchan Kim

    Published 2025-07-01
    “…Future studies should explore integrating multiple convolutional neural network-based models to further boost classification accuracy.…”
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