The illustration depicts our CQ-CNN architecture for binary image classification. حسب Mominul Islam (3513758)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …"

ROC curve for binary classification. حسب Nicodemus Songose Awarayi (18414494)

"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"

Confusion matrix for binary classification. حسب Nicodemus Songose Awarayi (18414494)

"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"

Dataset 2: Zip file containing the Tables of the presented method and results حسب Suchismita Behera (22027316)

Table5_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image2_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table1_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image1_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table2_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files حسب 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. …"

A new fast filtering algorithm for a 3D point cloud based on RGB-D information حسب Chaochuan Jia (7256237)

"…Then, the optimal segmentation threshold of the V image that is calculated by using the Otsu algorithm is applied to segment the color mapping image into a binary image, which is used to extract the valid point cloud from the original point cloud with outliers. …"

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment حسب Jianfang Cao (1881379)

"…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …"

Schematic representation of semi-automated algorithm for organoids analyzing. حسب Anna Demchenko (18449439)

Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

"…<b>I)</b> Testing data consisting of 20% of the entire dataset. <b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …"

Testing results for classifying AD, MCI and NC. حسب Nicodemus Songose Awarayi (18414494)

"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"