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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

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

"…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …"

Variable settings and assignment descriptions. حسب Yuling Jin (11872953)

"…The results showed that (1) rural population aging had emerged as a significant challenge for Ulanqab, with the proportion of people aged 60 and above increasing from 12.3% in 2000 to 44.9% in 2020. …"

Supplementary Material for: A case report: Metastatic Gestational Trophoblastic Neoplasia leading to acute respiratory failure and death. About a particularly challenging managemen... حسب figshare admin karger (2628495)

Flow chart of household head recruitment. حسب Suvasish Das Shuvo (11204728)

"…<div><p>Background</p><p>Inadequate dietary diversity is a significant challenge in public health for low-and middle-income countries, including rural communities in Bangladesh. …"

Jitter plot illustrating the distribution of three racial groups across varying rural percentages. حسب Michael Bradfield (3540005)

Experimental Analysis of Paraffin Deposition in Slug Flow حسب Aziz Alhejaili (10331604)

"…Paraffin (wax) deposition poses a significant challenge in oil and gas production, particularly in ultradeepwater and harsh environments where temperatures drop below the wax appearance temperature (WAT). …"

Experimental Analysis of Paraffin Deposition in Slug Flow حسب Aziz Alhejaili (10331604)

"…Paraffin (wax) deposition poses a significant challenge in oil and gas production, particularly in ultradeepwater and harsh environments where temperatures drop below the wax appearance temperature (WAT). …"

Experimental Analysis of Paraffin Deposition in Slug Flow حسب Aziz Alhejaili (10331604)

"…Paraffin (wax) deposition poses a significant challenge in oil and gas production, particularly in ultradeepwater and harsh environments where temperatures drop below the wax appearance temperature (WAT). …"

TAD boundary stability for different noise amplitudes for all chromosomes. حسب Lucas Hedström (21688891)

Major hyperparameters of RF-SVR. حسب Jintao Li (448681)

"…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"

Pseudo code for coupling model execution process. حسب Jintao Li (448681)

"…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"

Major hyperparameters of RF-MLPR. حسب Jintao Li (448681)

"…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"

Results of RF algorithm screening factors. حسب Jintao Li (448681)

"…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"

Schematic diagram of the basic principles of SVR. حسب Jintao Li (448681)

"…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …"

MRI grading systems’ diagnostic accuracy for MD. حسب Neda Azarpey (20308334)

"…<div><p>Background</p><p>The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. …"

MRI-based cochlear hydrops grading and PLE in MD. حسب Neda Azarpey (20308334)

"…<div><p>Background</p><p>The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. …"