Force and displacement in sandstone uniform loading. حسب Tong Zhuang (17847113)

Comparison with other target detection methods on pest datasets. حسب Ruikang Xu (18778060)

الموضوعات:

Dataset parameters. حسب Martina Ladrova (19286506)

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

Dataset characteristics comparison. حسب Jun Wang (5906)

الموضوعات:

Hyperplasia of the suboccipital muscles significantly increased intracranial pressure. حسب Chan Li (433717)

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:

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)

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)