Schematic diagram of the pillar encoding. by Xinpeng Yao (18882573)

Range of point clouds. by Xinpeng Yao (18882573)

“…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”

Results of ablation experiment. by Xinpeng Yao (18882573)

“…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”

Transformer Encoder network structure. by Xinpeng Yao (18882573)

“…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”

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

“…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”

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

“…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”

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

“…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”

Auto Insurance Fraud Detection by M RN (9866504)

“…<p dir="ltr">Auto Insurance Fraud Detection: Dataset and BQABA algorithm python code</p>…”

Supplementary Data from GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling by Hassan Ghani (22153682)

Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

Detection visualization results on WEDU dataset. by Dunlu Lu (19964225)

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …”

Code snippet from “Netty/Buffer” Maven artefact. 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. …”

Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC). by Daniel Suárez-Barrera (22676654)

This is the interaction.js script from iCn3D node.js framework, to calculate protein-protein interactions across any quaternary interface. by Caesar Tawfeeq (21087272)

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Ig-domains templates of Table 1 in Excel format. by Caesar Tawfeeq (21087272)

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A) https://structure.ncbi.nlm.nih.gov/icn3d/share.html?6swEjWBjXWhufUycA&t=3DMK. B) Ig2-Ig2, Ig3-Ig3 and Ig7-Ig7 homophilic interfaces using the AG strands, AA’ strands and ABED sh... by Caesar Tawfeeq (21087272)

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Schematic representation of Ig-domains dimerization patterns and contact network A) VH:VL schematic parallel interface and conserved interactions B) CH1:CL schematic antiparallel i... by Caesar Tawfeeq (21087272)

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Homophilic vs. by Caesar Tawfeeq (21087272)

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Head-to-Head tandem Arrestin Structure A) Arrestin (PDBid: 1CF1) https://structure.ncbi.nlm.nih.gov/icn3d/share.html?1LKCe6fyS1fzacVL7&t=1CF1 by Caesar Tawfeeq (21087272)

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IgStrand Alignment of 107 diverse antigen binding VH, VL, CH1, CL domains in Excel format. by Caesar Tawfeeq (21087272)

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