A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some high-dimensional datasets usi... by Olaide N. Oyelade (14047002)

A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some medium-sized dimensional data... by Olaide N. Oyelade (14047002)

A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some small-sized dimensional datas... by Olaide N. Oyelade (14047002)

Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

Table_1_Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model.docx by Chenglin Wang (430151)

Data_Sheet_1_A Global Optimizer for Nanoclusters.PDF by Maya Khatun (7437011)

“…This method is implemented in PyAR (https://github.com/anooplab/pyar) program. The global optimization in PyAR involves two parts, generation of several trial geometries and gradient-based local optimization of the trial geometries. …”

Data_Sheet_2_Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms.docx by Hao-Chun Lu (12965318)

“…</p>Methods<p>The CT was estimated from 3 points of each image. We used five machine-learning base algorithms to construct the classifiers. …”

Data_Sheet_1_Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms.docx by Hao-Chun Lu (12965318)

“…</p>Methods<p>The CT was estimated from 3 points of each image. We used five machine-learning base algorithms to construct the classifiers. …”

State-of-the-art methods for X-ray image classification. Summarised in terms of the classifier, preprocessing, and features extraction used and their performance using the differen... by Antonio Quintero-Rincón (21087716)

Pre-processing of raw images for pose estimation using physical model-trained convolutional neural network model. by Aniket Ravan (3174171)

Experimental setup and trajectory estimation methodology. by Nouman Javed (16624785)

Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files by Suchismita Behera (22027316)

“…<p dir="ltr">Figures represented here illustrates the <b>metaheuristic-based band selection framework</b> for hyperspectral image classification using <b>Binary Jaya Algorithm enhanced with a mutation operator</b> to improve population diversity and avoid premature convergence. …”

DataSheet_1_Preoperatively Estimating the Malignant Potential of Mediastinal Lymph Nodes: A Pilot Study Toward Establishing a Robust Radiomics Model Based on Contrast-Enhanced CT I... by Mengshi Dong (5181833)

“…Purpose<p>To establish and validate a radiomics model to estimate the malignancy of mediastinal lymph nodes (LNs) based on contrast-enhanced CT imaging.…”

UK Biobank data wrangling statistics and results. by Simeone Marino (81051)

Image_2_A Diagnostic Model for Kawasaki Disease Based on Immune Cell Characterization From Blood Samples.TIF by Shangming Du (9950501)

Image_4_A Diagnostic Model for Kawasaki Disease Based on Immune Cell Characterization From Blood Samples.TIF by Shangming Du (9950501)

Image_1_A Diagnostic Model for Kawasaki Disease Based on Immune Cell Characterization From Blood Samples.TIF by Shangming Du (9950501)

Image_3_A Diagnostic Model for Kawasaki Disease Based on Immune Cell Characterization From Blood Samples.TIF by Shangming Du (9950501)

Supplementary Material for: Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation by Higaki A. (11035161)

“…<b><i>Conclusion:</i></b> The U-Net-based image analysis method could streamline the experimental approach.…”

NuSeT efficiently addresses common segmentation challenges. by Linfeng Yang (516708)

“…The watershed line is then estimated based on the binary mask and centroids. <b>(B)</b> Sample results showing that RPN successfully detects most of the cells, and watershed lines further separate touching cells. …”