Correlation heatmap of performance scores among different feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. حسب Doaa Sami Khafaga (21463870)

Density distribution plot of performance metrics for various feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. حسب Doaa Sami Khafaga (21463870)

Schematic diagram of the Dropout optimization. حسب Peng Yang (296696)

Classification baseline performance. حسب Doaa Sami Khafaga (21463870)

Feature selection results. حسب Doaa Sami Khafaga (21463870)

ANOVA test result. حسب Doaa Sami Khafaga (21463870)

Summary of literature review. حسب Doaa Sami Khafaga (21463870)

Summary of datasets used. حسب Stephen R. Piccolo (8367780)

Experimental observation of gastruloids and shape quantification using LOCO-EFA. حسب Martijn A. de Jong (17896732)

2D UMAP visualization of embedded spectra and peptide vectors generated by SpeCollate. حسب Muhammad Usman Tariq (11022141)

Portable Library for Homomorphic Encrypted Machine Learning on FPGA Accelerated Cloud Cyberinfrastructure حسب Zhihan Xu (17049357)

"…With the fine-grained programmable architecture of FPGAs, FPGAs are well-suited for accelerating HE ML inference. This project will leverage our novel algorithmic, architectural, and memory optimizations on FPGAs to develop a portable library to enable secure and trustworthy ML inference. …"

Portable Library for Homomorphic Encrypted Machine Learning on FPGA Accelerated Cloud Cyberinfrastructure حسب Zhihan Xu (17049357)

"…With the fine-grained programmable architecture of FPGAs, FPGAs are well-suited for accelerating HE ML inference. This project will leverage our novel algorithmic, architectural, and memory optimizations on FPGAs to develop a portable library to enable secure and trustworthy ML inference. …"

Diversity and specificity of lipid patterns in basal soil food web resources حسب Jakob Kühn (7288466)

"…In marine environments, multivariate optimization models (Quantitative Fatty Acid Signature Analysis) and Bayesian approaches (source-tracking algorithm) were established to predict the proportion of predator diets using lipids as tracers. …"

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

<b>Portable Library for Homomorphic Encrypted Machine Learning on FPGA Accelerated Cloud Cyberinfrastructure</b> حسب Zhihan Xu (17049357)

"…With the fine-grained programmable architecture of FPGAs, FPGAs are well-suited for accelerating HE ML inference. This project will leverage our novel algorithmic, architectural, and memory optimizations on FPGAs to develop a portable library to enable secure and trustworthy ML inference. …"

iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules حسب Denis N. Prada Gori (5798651)

"…Here, two open-source in-house methodologies for clustering of small molecules are presented: iterative Random subspace Principal Component Analysis clustering (iRaPCA), an iterative approach based on feature bagging, dimensionality reduction, and K-means optimization; and Silhouette Optimized Molecular Clustering (SOMoC), which combines molecular fingerprints with the Uniform Manifold Approximation and Projection (UMAP) and Gaussian Mixture Model algorithm (GMM). …"

iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules حسب Denis N. Prada Gori (5798651)

"…Here, two open-source in-house methodologies for clustering of small molecules are presented: iterative Random subspace Principal Component Analysis clustering (iRaPCA), an iterative approach based on feature bagging, dimensionality reduction, and K-means optimization; and Silhouette Optimized Molecular Clustering (SOMoC), which combines molecular fingerprints with the Uniform Manifold Approximation and Projection (UMAP) and Gaussian Mixture Model algorithm (GMM). …"

iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules حسب Denis N. Prada Gori (5798651)

"…Here, two open-source in-house methodologies for clustering of small molecules are presented: iterative Random subspace Principal Component Analysis clustering (iRaPCA), an iterative approach based on feature bagging, dimensionality reduction, and K-means optimization; and Silhouette Optimized Molecular Clustering (SOMoC), which combines molecular fingerprints with the Uniform Manifold Approximation and Projection (UMAP) and Gaussian Mixture Model algorithm (GMM). …"

SHAP bar plot. حسب Meng Cao (105914)

"…The optimal model was further assessed for predictor importance utilizing the SHAP method and deployed on a web platform using the Streamlit library.…"

Sample screening flowchart. حسب Meng Cao (105914)

"…The optimal model was further assessed for predictor importance utilizing the SHAP method and deployed on a web platform using the Streamlit library.…"