Controlling FDR with multiple different <i>α</i> values. by Aapo E. Korhonen (22530674)

Underlying Data for '<b>Detection of False Position Attacks in VANETs through Bagging Ensemble Learning</b>' by Bekan Mekonen (21544637)

Two-dimensional visualization of cell clustering in the Pollen dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the Petropoulos dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the Guo2 dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the iPSC dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the CellType dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Comparative prediction performance analysis of different algorithms. by Dongqing Zhang (423941)

Algorithm performance in different operational phases. by Dongqing Zhang (423941)

Fig 5 - by John Iacozza (5787789)

Examples of OBIA of beluga whales for two tiles from the original WorldView-3 satellite image. by John Iacozza (5787789)

Flow of complete face detection method. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Prediction results of a trained model for detecting the location of a tumor. by Young Seo Baik (21001443)

Prediction results of a trained model for detecting the location of a tumor. by Young Seo Baik (21001443)

Comparison of facial feature extraction effect. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Results of ablation experiment. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Face feature extraction results. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Results of ablation experiment. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Anti-noise test results. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”

Results of generalization ability verification. by Yingying Mei (13817440)

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”