Spirit Figure of Phases of ICMR MINDS. Bằng Johnson-Pradeep Ruben (22367283)

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

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

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Error-specific accuracy comparison results. Bằng 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. …”

The Lang-8 corpus of learner English results. Bằng 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... Bằng Mominul Islam (3513758)

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

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

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

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

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

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

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Comparison of our classical–quantum and pure classical models with recent literature approaches for AD detection, highlighting key attributes such as dataset, number of classes, mo... Bằng Mominul Islam (3513758)

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The graph depicts the training progress of the segmentation model, showing the Dice and IoU coefficients over 30 epochs. Bằng Mominul Islam (3513758)

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