بدائل البحث:
projects optimization » process optimization (توسيع البحث), property optimization (توسيع البحث), production optimization (توسيع البحث)
based projects » based products (توسيع البحث), based projections (توسيع البحث), based probes (توسيع البحث)
library based » laboratory based (توسيع البحث)
projects optimization » process optimization (توسيع البحث), property optimization (توسيع البحث), production optimization (توسيع البحث)
based projects » based products (توسيع البحث), based projections (توسيع البحث), based probes (توسيع البحث)
library based » laboratory based (توسيع البحث)
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1
ReaLigands: A Ligand Library Cultivated from Experiment and Intended for Molecular Computational Catalyst Design
منشور في 2023"…In the library, ligands are sorted based on direct ligand-to-metal atomic connections and on denticity. …"
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2
SSA4LSMOP
منشور في 2024"…The project is based on genetic algorithms and other heuristic optimization methods for a variety of complex optimization problems.…"
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Portable Library for Homomorphic Encrypted Machine Learning on FPGA Accelerated Cloud Cyberinfrastructure
منشور في 2025"…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. …"
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Portable Library for Homomorphic Encrypted Machine Learning on FPGA Accelerated Cloud Cyberinfrastructure
منشور في 2024"…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. …"
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<b>Portable Library for Homomorphic Encrypted Machine Learning on FPGA Accelerated Cloud Cyberinfrastructure</b>
منشور في 2023"…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. …"
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9
iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules
منشور في 2022"…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). …"
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10
iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules
منشور في 2022"…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). …"
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11
iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules
منشور في 2022"…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). …"
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Collaborative Research: SI2-SSI: ELSI-Infrastructure for Scalable Electronic Structure Theory
منشور في 2020"…The ELectronic Structure Infrastructure (ELSI) project provides an open-source software interface to facilitate the implementation and optimal use of high-performance solver libraries covering cubic scaling eigensolvers, linear scaling density-matrix-based algorithms, and other reduced scaling methods in between. …"
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15
Collaborative Research: SI2-SSI: ELSI - Infrastructure for Scalable Electronic Structure Theory
منشور في 2020"…The ELectronic Structure Infrastructure (ELSI) project provides an open-source software interface to facilitate the implementation and optimal use of high-performance solver libraries covering cubic scaling eigensolvers, linear scaling density-matrix-based algorithms, and other reduced scaling methods in between. …"
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16
Otago's Network for Engagement and Research: Mapping Academic Expertise and Connections
منشور في 2020"…<br></div><div><br></div><div>In the next stage of the project, we will develop further the data integration schemes, enhance our algorithm to infer expertise based on this data, and update the interactive visualisation to reflect these inferences. …"
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17
Aluminum alloy industrial materials defect
منشور في 2024"…</p><h2>Description of the data and file structure</h2><p dir="ltr">This is a project based on the YOLOv8 enhanced algorithm for aluminum defect classification and detection tasks.…"