Search alternatives:
significant prediction » significant reduction (Expand Search), significant predictor (Expand Search), significant predictive (Expand Search)
significant small » significantly smaller (Expand Search), significant spatial (Expand Search), significant overall (Expand Search)
prediction based » prediction model (Expand Search)
significant prediction » significant reduction (Expand Search), significant predictor (Expand Search), significant predictive (Expand Search)
significant small » significantly smaller (Expand Search), significant spatial (Expand Search), significant overall (Expand Search)
prediction based » prediction model (Expand Search)
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Pearson correlations between language-based predictions of SWB and observed SWB scale scores.
Published 2022Subjects: -
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COSMO-RS prediction for pressure effect on CO<sub>2</sub> solubility of amine-based DESs.
Published 2023Subjects: -
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Charging station placement optimization based on the location significance prediction
Published 2024“…To address this issue, we introduce a novel approach to optimize the placement of electric vehicle charging stations, integrating a novel location-based charging station significance prediction model with a lion optimization algorithm (LOA) where the significance is defined as the combination of charging energy and the number of sessions. …”
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Effect of temperature on CO<sub>2</sub> solubility of amine-based DESs predicted by COSMO-RS.
Published 2023Subjects: -
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Effect of HBD type on the viscosity and density of ChCl-based DESs + 5% water.
Published 2023Subjects: -
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Effect of HBA type on CO<sub>2</sub> absorption capacity of the MEA-based DESs + 5% water.
Published 2023Subjects: -
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Effect of HBD type on CO<sub>2</sub> absorption capacity of the ChCl-based DESs + 5% water.
Published 2023Subjects: -
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Significance analysis results.
Published 2025“…<div><p>Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. …”
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