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Accurate Quantitative Structure−Property Relationship Model To Predict the Solubility of C 60 in Various Solvents Based on a Novel Approach Using a Least-Squares Support Vector Machine
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Solubilization of Carbon 60 in a Non-Toxic Solvent and Opportunities for Medical Development
inferred← citeshttps://doi.org/10.3390/en9100827openalex-snapshot
Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search
inferred← citeshttps://doi.org/10.3390/molecules27103069openalex-snapshot
Optimization of Ultrasonic-Assisted Extraction of Active Components and Antioxidant Activity from Polygala tenuifolia: A Comparative Study of the Response Surface Methodology and Least Squares Support Vector Machine
inferred← citeshttps://doi.org/10.4018/jnn.2017010103openalex-snapshot
Exploring Simple, Interpretable, and Predictive QSPR Model of Fullerene C60 Solubility in Organic Solvents
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