Classification accuracy results for each class in the tomato plant disease dataset. حسب M. Amudha (20390830)

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Proposed model training parameters. حسب M. Amudha (20390830)

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Input image and extracted features maps. حسب M. Amudha (20390830)

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Correlation heat map for feature selection. حسب M. Amudha (20390830)

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Fig 8 - حسب M. Amudha (20390830)

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Layer wise structure complexity reduction. حسب M. Amudha (20390830)

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Accuracy change vs. ELM layers pruning rate. حسب M. Amudha (20390830)

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Performance analysis of various model on the tomato plant dataset. حسب M. Amudha (20390830)

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Characteristic and limitations of existing work. حسب M. Amudha (20390830)

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Working procedure of ELM classifier network. حسب M. Amudha (20390830)

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Performance evaluation of the proposed technique with existing models. حسب M. Amudha (20390830)

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Comparative analysis of proposed approach versus baseline models. حسب M. Amudha (20390830)

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Sample images of tomato leaf disease dataset. حسب M. Amudha (20390830)

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Comparative analysis of layer, parameters and speedup ratio for original CNN+FC and proposed HOBS-ELM models. حسب M. Amudha (20390830)

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Proposed CNN (EHO+HOBS-ELM) architecture. حسب M. Amudha (20390830)

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Statistical summary of models performance metrics. حسب M. Amudha (20390830)

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Feature selection and pruning strategies comparison. حسب M. Amudha (20390830)

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Oscillation grading scale. Oscillations in the raw RBC signal were graded from 1 (no confidence in visibility of oscillation) to 5 (high confidence in visibility of oscillation). حسب Ivina Mali (12425544)

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Comparison of regional image comparison metrics for two back-to-back images for the different oscillation mapping techniques investigated. حسب Ivina Mali (12425544)

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Reliability of standard Xe-MRI quantitative metrics. حسب Ivina Mali (12425544)

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