Combined Confusion matrix: (a) Rear hand punch classification (b) Lead hand punch classification. by Saravanan Manoharan (21273304)

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Accuracy metrics with different percentage of the training dataset. by Saravanan Manoharan (21273304)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

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The distribution of age-related resting-state functional connectivity (RSFC) based on Euclidean distance. by Lanxin Ji (20290942)

Data used to generate Figs 1D, 3B, 3D, and 4. by Lanxin Ji (20290942)

Changes in graph parameters over the birth transition. by Lanxin Ji (20290942)

Inactivation of Topo IV leads to a specific inability to replicate the terminus region of the chromosome. by Parisa D. Mokhtari (22209097)

An illustration of how GBT works. by Hoang Thanh Nhon (22311837)

“…For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”

The average performance of the test set. by Hoang Thanh Nhon (22311837)

“…For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”