Cochlear hydrops classification in MRI systems. by Neda Azarpey (20308334)

“…Adjusting the threshold to EH grade 2 results in a sensitivity increase to 92.1% (CI: 85.9–95.7) and a specificity decrease to 70.6% (CI: 64.5–76.1), with a DOR of 28.056 (CI: 14.917–52.770). …”

Star Classification System for Age Models by Suzette G.A. Flantua (813538)

“…<br><br><div>Here we present the outcomes of this paper in terms of recalibrated age models and their corresponding descriptions. Furthermore in the README file there are instructions and a test-folder on how to do age model running using Clam that will produce a star classification. …”

The details of the classification models. by Ramtin Zargari Marandi (592550)

“…<p>The details of the classification models.</p>…”

Information classification and coding system. by Qinghe Zeng (10779654)

“…<p>Information classification and coding system.</p>…”

Information classification and coding system. by Qinghe Zeng (10779654)

“…<p>Information classification and coding system.</p>…”

Classification model parameter settings. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”

ROC curve for the proposed Classification model across AD, MCI, and CN. by Muhammad Zubair (728141)

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Probability of correct classification for classification models with different SNRs. by Haoran Yin (5793305)

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<i>AVI</i> classification. by Bo Tang (23472)

“…The findings of this research are as follows: Firstly, the sensitivity index and resilience index of the atmospheric environment of the PRD exhibit an overall upward trend with fluctuations, while the exposure index demonstrates a pattern of initial increase, followed by a decrease, and subsequent increase with significant interannual variability. …”

Summary of recent Alzheimer’s classification studies. by Muhammad Zubair (728141)

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Confusion matrix-punch classification. by Saravanan Manoharan (21273304)

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The influence of training-time noise on classification accuracy and reliability by Eloy Geenjaar (21533195)

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Evaluation of classification model. by Handi Sun (15332670)

“…Our method is mainly divided into two parts, a temporal-spatial feature fusion method using capsules for feature extraction and a prototypical network classification method with attention and vote mechanisms. …”

Classification of pelvic ring fractures according to AO/OTA classification system. by Jun Young Park (1690396)

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

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Table of model classification. by Antonio Cervero (8911028)

“…<p>Table of model classification.</p>…”

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

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”

Proposed hybrid framework for Alzheimer’s disease classification. by Muhammad Zubair (728141)

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Comparison of the built automatic document classification system and the automated document classification system based on TF-IDF. by Yuanyuan Zuo (732921)

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Models’ classification report. by Muhammad Muzzammil Auzine (18880720)