Range of point clouds. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

Results of ablation experiment. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

Transformer Encoder network structure. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

Line chart of frame rate. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

The total loss and three-component loss. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

Improved upsampling module based on Transformer. by Xinpeng Yao (18882573)

“…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”

R project including metadata update. by Frederik Stein (22146203)

“…These problems appear to stem from both algorithmic limitations and deficiencies in submission and post-submission processes. …”

Classes of errors and gaps in BOLD metadata. by Frederik Stein (22146203)

“…These problems appear to stem from both algorithmic limitations and deficiencies in submission and post-submission processes. …”

Principal component analysis (PCA) was applied to reduce the dimensionality of the dataset, and hierarchical clustering was then used to identify kinematic subpopulations. by Nancy A. Juárez-Contreras (22794057)

Riemann Hypothesis Solution: A Structured Hilbert-Polya Operator Realization via Entropy Geometry by Jennifer Bulyaki (22283308)

Spatial patterns of the CAPs estimated from both splits are reproducible and strongly correlated with at least one of the basis CAPs. by Kangjoo Lee (11648345)

Performance assessment of Cell2Spatial on real and simulated mouse brain spatial transcriptomics (ST) data. by Huamei Li (8815955)

Spatial characterization and cell-type-specific genes in mouse brain tissue. by Huamei Li (8815955)

Evaluation of spatial transcriptomics (ST) tools across various metrics and conditions. by Huamei Li (8815955)

BootCellNet2 gives clustering that comply more with CITE-seq results. by Yutaro Kumagai (481168)

Overall framework design. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

Gamma distribution of reuse. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

Top 5 correlated features based on reuse. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

Features with the top importance score. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

Heatmap of pre-post interview changes in system insights, health equity thinking, & healthy equity action. by Travis R. Moore (19532635)