Pre-facility, facility, and post-facility components of the logic model and specific aspects of the logic model for the implementation framework. por Johnson-Pradeep Ruben (22367283)

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Conceptual framework for costing of intervention package. por Johnson-Pradeep Ruben (22367283)

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Error-specific accuracy comparison results. por Weiling Liu (1465480)

“...It shows the excellent effect of this method in grammar error recognition and correction, and has far-reaching significance in providing accurate error correction suggestions, helping English learners improve their writing ability and ensuring the quality of English writing. ...”

Comparison of Model Five-classification Results. por Chao Tang (10925)

PCA-CGAN Ablation Experiment Results. por Chao Tang (10925)

Integration of lipid ratios with multi-omic datasets to explore ether lipid metabolism in obesity. por Yvette L. Schooneveldt (22138892)

The Lang-8 corpus of learner English results. por Weiling Liu (1465480)

“...It shows the excellent effect of this method in grammar error recognition and correction, and has far-reaching significance in providing accurate error correction suggestions, helping English learners improve their writing ability and ensuring the quality of English writing. ...”

Radar plots compare the performance of models with different qubit configurations across evaluation metrics: accuracy (ACC), specificity (SPEC), F1-score (F1), precision (PRE), and... por Mominul Islam (3513758)

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Training configurations for the segmentation (), diffusion (), and classification () models. por Mominul Islam (3513758)

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Subfigure (a) shows the 3D MRI volume represented as voxels in a three-dimensional coordinate system; (b) presents example 2D slices from the axial, coronal, and sagittal planes; a... por Mominul Islam (3513758)

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The graphs present the training and validation accuracy curves for the CQ-CNN models across different MRI planes (axial, coronal, sagittal, and 3-plane) and model configurations (c... por Mominul Islam (3513758)

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Schematic depiction of a classical neural network (a) and a quantum neural network (b) for binary classification. por Mominul Islam (3513758)

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Visualization of the 3D-to-2D slice extraction strategy from volumetric MRI data (axial view). por Mominul Islam (3513758)

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Performance analysis of CQ-CNN models across axial, coronal, sagittal, and combined 3-plane views. por Mominul Islam (3513758)

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Layer-by-layer configuration and parameter count of the proposed CQ-CNN model, where <i>ω</i> represents the number of qubits in the PQC, and indicates the number of trainable para... por Mominul Islam (3513758)

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The schematic depicts our PQC using ZZFeatureMap encoding, with subfigure (a) showing a 2-qubit circuit and subfigure (b) showing a 3-qubit circuit. por Mominul Islam (3513758)

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Distribution of training and testing images for the moderate dementia and non-dementia classes in the OASIS-2 dataset, shown across four variations with images from different plane... por Mominul Islam (3513758)

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Control experiments illustrate feature separability and training stability between MNIST binary pairs (0v1, 2v3, 4v5) and the OASIS-2 MRI dataset for AD classification across axial... por Mominul Islam (3513758)

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The illustration depicts our CQ-CNN architecture for binary image classification. por Mominul Islam (3513758)

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The visuals present the training loss curves over 800 epochs for three distinct diffusion models. por Mominul Islam (3513758)

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