<b>R</b><b>esidual</b> <b>GCB-Net</b>: Residual Graph Convolutional Broad Network on Emotion Recognition by Qilin Li (535447)

“…It can accurately reflect the emotional changes of the human body by applying graphical-based algorithms or models. EEG signals are nonlinear signals. …”

Unsupervised Concept Discovery for Deep Weather Forecast Models with High-Resolution Radar Data by Soyeon Kim (533382)

“…We extract rainfall patterns semi-automatically from a trained deep neural network model, such as convectional, frontal, orographic, and cyclonic precipitations. …”

Imaging platform. by Jiajun Liu (692586)

“…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”

KAN-GLNet network model. by Jiajun Liu (692586)

“…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”

Reconstructed canola point cloud samples. by Jiajun Liu (692586)

“…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”

Training loss and accuracy curves of KAN-GLNet. by Jiajun Liu (692586)

“…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”

Hardware and software specifications. by Jiajun Liu (692586)

“…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”

Pipeline for extraction of parameters for ML and DL. by John Kruper (18809386)

“…<p>(A) Diffusion MRI (dMRI) data from the HBN-POD2 sample is used as input to the algorithm. (B) In the initial step, whole-brain tractography is conducted (C) Major white matter pathways are identified based on the trajectory of the streamlines. …”

Table 1_An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients.docx by Shu Yang (381226)

“…E. coli infection was identified based on microbiological results and diagnostic codes. Missing data were imputed using the missForest algorithm. …”

Canopy Height Monitoring Data and Model of Hainan Tropical Rainforest National Park by Zixuan Qiu (14013837)

“…</p><p dir="ltr">The data in the folder (Code) includes the training code and prediction code for four machine learning algorithms (BP, CNN, GBDT, RF).…”

archive.zip by Tasneem Fatima (21976946)

“…The dataset extracted from the archive consists of a large number of labeled images of wheat grains, organized in directories such as <code>wheat_for_cnn</code>, with filenames reflecting numerical categories (e.g., <code>10_1.jpg</code>, <code>100_5.jpg</code>, <code>200_0003.jpg</code>). …”

TIR-Learner v3: New generation TE annotation program for identifying TIRs by Tianyu Lu (18856792)

“…The old TIR suffers from slow execution on large genomes due to intense I/O operations and less efficient algorithms, it also lacks maintainability due to legacy dependency issues. …”

Both Ankle fNIRS MI dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Right Knee fNIRS MI Dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Right Ankle fNIRS MI Dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Left Knee fNIRS MI Dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Left Ankle fNIRS MI Dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Both Knees fNIRS MI dataset by Hammad Gilani (8060012)

“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”

Supplementary file 1_A real-world disproportionality analysis of FDA adverse event reporting system (FAERS) events for lecanemab.docx by Linlin Yan (4480570)

“…Using the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS) algorithms, we conducted a comprehensive analysis of lecanemab-related AEs, restricting the analysis to AEs with the role code of primary suspect (PS).…”

<b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b> by Li Yang (13558573)

“…</p><p dir="ltr">Algorithms: Core Area Zonation (CAZ) and Additive Benefit Function (ABF).…”