Dataset parameters. حسب Martina Ladrova (19286506)

Points represent regions where the cluster coefficient was significantly larger in HC compared to MCI, at sparsity level of 0.15. حسب Therese M. Gilligan (7460906)

SER of each model on the dataset. حسب Yang Liu (4829)

Dataset characteristics comparison. حسب Jun Wang (5906)

الموضوعات:

Genes significantly altered in NSCLC as detected by transcriptomics analysis. حسب Chen Ruiying (8807294)

The number of defective images in the dataset. حسب Ying Han (137520)

الموضوعات:

Significant SNP positions and genes detected for ear position. حسب Bernadette Yougbaré (11237724)

Significantly mutated genes detected by dNdScv. حسب Adrián Mosquera Orgueira (6338687)

Significantly mutated genes detected by MutSigCV. حسب Adrián Mosquera Orgueira (6338687)

Detection accuracy evaluation for the abu-beach-2 dataset. حسب Ruhan A (12403982)

الموضوعات: "…hyperspectral anomaly detection…"

Detection accuracy evaluation for the abu-urban-3 dataset. حسب Ruhan A (12403982)

الموضوعات: "…hyperspectral anomaly detection…"

ROC plots of the cough detection system (test dataset). حسب Marina Eni (11973229)

Detection accuracy between the proposed method on YAWDDR dataset. حسب Ning Lin (477803)

الموضوعات:

Comparisons between clusters before and during the COVID-19 pandemic. حسب Yael Fogel (11883343)

الموضوعات:

The detection performance for different categories on GC10-DE dataset. حسب Shouluan Wu (22601074)

Comparison of detection methods by defect category on NEU-DET dataset. حسب Shouluan Wu (22601074)

Tables showing the peaks of all significant clusters found within our frontal masks that are reported in the main text. حسب Caroline I. Jahn (14522732)

Parameters of the dataset. حسب Junjie Lu (160350)

"…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …"

Distribution of the dataset. حسب Junjie Lu (160350)

"…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …"

Most significant hits according to GWAS. حسب Julian Libiseller-Egger (4536742)