بدائل البحث:
estimation algorithm » optimization algorithms (توسيع البحث), maximization algorithm (توسيع البحث), detection algorithm (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
robust estimation » pose estimation (توسيع البحث), risk estimation (توسيع البحث)
library based » laboratory based (توسيع البحث)
based robust » based probes (توسيع البحث)
binary ptprg » binary pairs (توسيع البحث)
ptprg driven » atp driven (توسيع البحث)
estimation algorithm » optimization algorithms (توسيع البحث), maximization algorithm (توسيع البحث), detection algorithm (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
robust estimation » pose estimation (توسيع البحث), risk estimation (توسيع البحث)
library based » laboratory based (توسيع البحث)
based robust » based probes (توسيع البحث)
binary ptprg » binary pairs (توسيع البحث)
ptprg driven » atp driven (توسيع البحث)
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1
An AI-based Ecosystem for Real-time Gravitational Wave Analyses
منشور في 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
Data_Sheet_1_Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson’s Disease.docx
منشور في 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
Code
منشور في 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
Core data
منشور في 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
DataSheet1_Removing the Bottleneck: Introducing cMatch - A Lightweight Tool for Construct-Matching in Synthetic Biology.PDF
منشور في 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. …"