Prevalence of mild, moderate and severe anemia in percentage by age. حسب Rajan Vohra (10689820)

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Gender wise prevalence of Anemia in the study population. حسب Rajan Vohra (10689820)

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Summary of the results obtained using the dataset4 (SMOTE and feature selected). حسب Rajan Vohra (10689820)

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Prevalence of mild, moderate and severe anemia by age. حسب Rajan Vohra (10689820)

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Prevalence of mild, moderate and severe anemia by age. حسب Rajan Vohra (10689820)

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Summary of the results obtained using the dataset2 (feature selected). حسب Rajan Vohra (10689820)

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Framework of the proposed model. حسب Rajan Vohra (10689820)

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Summary of the results obtained using the dataset1 (Anemia original dataset). حسب Rajan Vohra (10689820)

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Prevalence of normocytic, microcytic and macrocytic by age. حسب Rajan Vohra (10689820)

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Feature selection. حسب Rajan Vohra (10689820)

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Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)

"…D, Corresponding performance parameters. All data correspond to binary classification between control and disease cases. …"

Using the Accuracy metric, three model types—naive deep learning models, advanced deep learning models, and the proposed framework—are compared for the binary classification of nor... حسب Amin Ullah (12015113)

Small-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100. حسب Olaide N. Oyelade (14047002)

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Medium-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100. حسب Olaide N. Oyelade (14047002)

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Large-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100. حسب Olaide N. Oyelade (14047002)

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Characteristics of the data sets used to evaluate Machine Learning and Deep Learning models for arboviral diseases classification. حسب Sebastião Rogério da Silva Neto (11944944)

Binary leaf image rotated anti-clock wise from the origin degree to 40^<i>o</i>, 80^<i>o</i>, 120^<i>o</i>, and 160^<i>o</i> from left to ri... حسب Ali Ahmed (2567584)

Classification report based on HaPi. حسب Akib Mohi Ud Din Khanday (19065631)

Using the Recall, Precision, and F1-score metrics, three model types are compared: naïve deep learning models, advanced deep learning models, and the proposed framework for binary... حسب Amin Ullah (12015113)

Using the Recall, Precision, and F1-score metrics, three model types are compared: naïve deep learning models, advanced deep learning models, and the proposed framework for binary... حسب Amin Ullah (12015113)