Model the experimental results curve. حسب Wen-Qing Huang (5258126)

"…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …"

Results of comparison experiments. حسب Wen-Qing Huang (5258126)

"…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …"

Architecture of Swin Transformer Block. حسب Wen-Qing Huang (5258126)

"…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …"

Disease distribution map of the GZDL-BD. حسب Wen-Qing Huang (5258126)

"…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …"

Token merging module. حسب Wen-Qing Huang (5258126)

"…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …"

Comparative results of the ablation experiments. حسب Wen-Qing Huang (5258126)

"…<div><p>Automatic pavement disease detection aims to address the inefficiency in practical detection. …"

Examples of singular vectors as a function of rank حسب Raj Magesh Gauthaman (22662887)

Comparison of activations between different brain regions. حسب Raj Magesh Gauthaman (22662887)

Proteomic analysis of _sEVs. حسب María-Angélica Calderón-Peláez (2851865)

Pathogen induced cytokine storm signaling pathway ‐ Expression overlay: PAS-highFIB-highGCX vs. Naive-noFIB-highGCX. حسب Melissa A. Hausburg (20529229)

Communication between innate and adaptive immune cells ‐ Expression overlay: PAS-highFIB-highGCX vs. Naive-noFIB-highGCX. حسب Melissa A. Hausburg (20529229)

Interleukin-10 signaling pathway ‐ Expression overlay: PAS-highFIB-highGCX vs. Naive-noFIB-highGCX. حسب Melissa A. Hausburg (20529229)

Role of macrophages, fibroblasts, and endothelial cells in rheumatoid arthritis (modified)–Expression overlay: PAS-highFIB-highGCX vs. Naive-noFIB-highGCX. حسب Melissa A. Hausburg (20529229)

Posterior predictive checks using simulated marker expression data. حسب Christiaan H. van Dorp (9449599)

Regular spiking neuron (sustained chopper) that exhibits accurate identification of envelope frequency from its spike trains. حسب Chris Scholes (3309477)

Relevant parameters of the benchmark models. حسب Wang Xiaoqian (10502222)

"…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…"

Peak strain and stress values of the specimens. حسب Wang Xiaoqian (10502222)

"…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…"

Aggregate characteristic curves. حسب Wang Xiaoqian (10502222)

"…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…"

Characteristic chart of algorithm efficiency. حسب Wang Xiaoqian (10502222)

"…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…"

Improved BP network algorithm flow. حسب Wang Xiaoqian (10502222)

"…Engineering verification calculations indicated that the BP neural network model can predict concrete performance under actual working conditions with a small error rate. Compared with traditional models, the neural network model has comprehensive advantages in terms of fitting accuracy, reduced overfitting, and enhanced stability.…"