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Showing 1 - 5 results of 5 for search '(( library based robust estimation algorithm ) OR ( binary wave based optimization algorithm ))', query time: 0.37s Refine Results
  1. 1
    An AI-based Ecosystem for Real-time Gravitational Wave Analyses

    An AI-based Ecosystem for Real-time Gravitational Wave Analyses by Erik Katsavounidis (19369348)

    Published 2024
    “…ML4GW, HERMES and the entire ecosystem can quickly integrate the plethora of deep learning based algorithms being developed for gravitational wave identification across the broader astrophysics community.…”
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  2. 2
    Data_Sheet_1_Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson’s Disease.docx

    Data_Sheet_1_Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson’s Disease.docx by Beatriz Muñoz-Ospina (12564505)

    Published 2022
    “…The CIM shows a relation between leg variables and the arms swing asymmetry (ASA) and a proportional relationship between ASA and the diagnosis of PD with a robust estimator (1,537).</p>Conclusions<p>Machine learning techniques based on objective measures using portable low-cost devices (Kinect<sup>®</sup>eMotion) are useful and accurate to classify patients with Parkinson’s disease. …”
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  3. 3
    Code

    Code by Baoqiang Chen (21099509)

    Published 2025
    “…</p><p><br></p><p dir="ltr">This architecture was implemented using the PyTorch library and trained using cross-entropy loss. The model was optimized to classify RNA sequences, achieving robust performance across multiple test sets.…”
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  4. 4
    Core data

    Core data by Baoqiang Chen (21099509)

    Published 2025
    “…</p><p><br></p><p dir="ltr">This architecture was implemented using the PyTorch library and trained using cross-entropy loss. The model was optimized to classify RNA sequences, achieving robust performance across multiple test sets.…”
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  5. 5
    DataSheet1_Removing the Bottleneck: Introducing cMatch - A Lightweight Tool for Construct-Matching in Synthetic Biology.PDF

    DataSheet1_Removing the Bottleneck: Introducing cMatch - A Lightweight Tool for Construct-Matching in Synthetic Biology.PDF by Alexis Casas (11924822)

    Published 2022
    “…<p>We present a software tool, called cMatch, to reconstruct and identify synthetic genetic constructs from their sequences, or a set of sub-sequences—based on two practical pieces of information: their modular structure, and libraries of components. …”
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