بدائل البحث:
active optimization » acid optimization (توسيع البحث), objective optimization (توسيع البحث), reaction optimization (توسيع البحث)
sars optimization » swarm optimization (توسيع البحث), art optimization (توسيع البحث), stress optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based active » based practice (توسيع البحث), based activity (توسيع البحث)
less based » lens based (توسيع البحث), lemos based (توسيع البحث), degs based (توسيع البحث)
based sars » based assays (توسيع البحث), based stress (توسيع البحث), based search (توسيع البحث)
active optimization » acid optimization (توسيع البحث), objective optimization (توسيع البحث), reaction optimization (توسيع البحث)
sars optimization » swarm optimization (توسيع البحث), art optimization (توسيع البحث), stress optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based active » based practice (توسيع البحث), based activity (توسيع البحث)
less based » lens based (توسيع البحث), lemos based (توسيع البحث), degs based (توسيع البحث)
based sars » based assays (توسيع البحث), based stress (توسيع البحث), based search (توسيع البحث)
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1
Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
منشور في 2025الموضوعات: -
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The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization
منشور في 2020"…We include details of an MMP fragmentation algorithm with associated statistical summarization methods for the derivation of Transforms. …"
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3
The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization
منشور في 2020"…We include details of an MMP fragmentation algorithm with associated statistical summarization methods for the derivation of Transforms. …"
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4
QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm
منشور في 2020"…The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …"
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Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP
منشور في 2022"…<p>It is of great practical and theoretical significance to identify driver fatigue state in real time and accurately and provide active safety warning in time. In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …"
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Active Learning Accelerated Discovery of Stable Iridium Oxide Polymorphs for the Oxygen Evolution Reaction
منشور في 2020"…We emphasize that the proposed AL algorithm can be easily generalized to search for any binary metal oxide structure with a defined stoichiometry.…"
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9
Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
منشور في 2020"…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …"
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10
Models and Dataset
منشور في 2025"…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …"