Data_Sheet_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.ZIP by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_3_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_7_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_6_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Image_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.TIF by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_5_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Image_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

Table_2_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.docx by Zackary J. Delisle (10200560)

Hematoxylin and eosin staining with histomorphometric analysis of outflow vein removed from Iex-1^−/− and WT animals at day 28 after fistula placement. by Akshaar Brahmbhatt (551498)

Image_10_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

Table_3_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.docx by Zackary J. Delisle (10200560)

Proliferation and apoptosis evaluation. by Dong Sun (165703)

“…(<b>K</b>) hAFSC group at 14 days after hAFSCs injection: The apoptotic cells were significantly decreased in animals in the hAFSC group (bar, 50 µm). …”

Image_7_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

Image_5_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

Table_5_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.XLSX by Zackary J. Delisle (10200560)

Analysis of scotopic electroretinograms in the <i>Aplp2</i> knockout mice. by Andrei V. Tkatchenko (789098)

“…Lack of <i>Aplp2</i> causes a dose-dependent decrease in the b-wave amplitude (F(2, 18) = 6.9, p = 6.0 × 10⁻³). …”

Image_9_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.TIFF by Zackary J. Delisle (10200560)

Table_4_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.DOC by Zackary J. Delisle (10200560)

Table_1_Next-Generation Camera Trapping: Systematic Review of Historic Trends Suggests Keys to Expanded Research Applications in Ecology and Conservation.docx by Zackary J. Delisle (10200560)