Slightly greater significance of m7G over m6A in epilepsy via multiple machine learning algorithms. by Jiangli Zhao (2308330)

Average accuracy by feature extraction layer. by Şafak Kılıç (22227019)

“…The best configuration (GAP + PCA + SVM RBF) demonstrated superior performance compared to existing state-of-the-art approaches, including recent Vision Transformer and ensemble methods.</p><p>Conclusions and clinical impact:</p><p>This research demonstrates the effectiveness of attention-based deep learning combined with sophisticated feature engineering for sperm morphology analysis. …”

Performance analysis by feature extraction layer. by Şafak Kılıç (22227019)

“…The best configuration (GAP + PCA + SVM RBF) demonstrated superior performance compared to existing state-of-the-art approaches, including recent Vision Transformer and ensemble methods.</p><p>Conclusions and clinical impact:</p><p>This research demonstrates the effectiveness of attention-based deep learning combined with sophisticated feature engineering for sperm morphology analysis. …”

Best model class-wise performance on SMIDS. by Şafak Kılıç (22227019)

“…The best configuration (GAP + PCA + SVM RBF) demonstrated superior performance compared to existing state-of-the-art approaches, including recent Vision Transformer and ensemble methods.</p><p>Conclusions and clinical impact:</p><p>This research demonstrates the effectiveness of attention-based deep learning combined with sophisticated feature engineering for sperm morphology analysis. …”

Average accuracy by feature selection method. by Şafak Kılıç (22227019)

“…The best configuration (GAP + PCA + SVM RBF) demonstrated superior performance compared to existing state-of-the-art approaches, including recent Vision Transformer and ensemble methods.</p><p>Conclusions and clinical impact:</p><p>This research demonstrates the effectiveness of attention-based deep learning combined with sophisticated feature engineering for sperm morphology analysis. …”

Classifier performance overview. by Şafak Kılıç (22227019)

“…The best configuration (GAP + PCA + SVM RBF) demonstrated superior performance compared to existing state-of-the-art approaches, including recent Vision Transformer and ensemble methods.</p><p>Conclusions and clinical impact:</p><p>This research demonstrates the effectiveness of attention-based deep learning combined with sophisticated feature engineering for sperm morphology analysis. …”

Best model class-wise performance on HuSHeM. by Şafak Kılıç (22227019)

“…The best configuration (GAP + PCA + SVM RBF) demonstrated superior performance compared to existing state-of-the-art approaches, including recent Vision Transformer and ensemble methods.</p><p>Conclusions and clinical impact:</p><p>This research demonstrates the effectiveness of attention-based deep learning combined with sophisticated feature engineering for sperm morphology analysis. …”

<b>Research on Semantic Segmentation of PCB Point Clouds Based on Adaptive Dynamic Graph Convolution</b> by zedong huang (22221292)

“…Nevertheless, the irregular nature of point cloud data, coupled with the abundance of small objects and reflective areas in electronic component assembly scenes, severely restricts the application of traditional convolutional neural networks (CNNs) in point cloud semantic segmentation within such scenarios. In recent years, graph convolution networks (GCNs) have garnered increasing attention, particularly in the realm of Non-Euclidean data processing. …”

Data Sheet 1_Comprehensive bioinformatics and in vitro studies reveal the carcinogenic role and molecular basis of endocrine disruptors in prostate cancer.xlsx by Feng Yu (273443)

“…Background<p>In recent years, growing attention has been paid to the carcinogenicity of endocrine disruptors (EDs). …”

Data Sheet 2_Comprehensive bioinformatics and in vitro studies reveal the carcinogenic role and molecular basis of endocrine disruptors in prostate cancer.docx by Feng Yu (273443)

“…Background<p>In recent years, growing attention has been paid to the carcinogenicity of endocrine disruptors (EDs). …”