Search alternatives:
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
level » levels (Expand Search)
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
level » levels (Expand Search)
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<i>I</i>-<i>U</i> characteristics using all investigated methods in Table 1: RTC-F solar cell.
Published 2024Subjects: -
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<i>I</i>-<i>U</i> characteristics using all investigated methods in Table 2: PWP201 solar module.
Published 2024Subjects: -
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Three-level model structure.
Published 2025“…Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. …”
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Comparison of experimental results of information entropy using different methods.
Published 2025Subjects: -
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Machine learning algorithms using the inflammatory prognostic index for contrast-induced nephropathy in NSTEMI patients
Published 2024“…Naive Bayes and k-nearest neighbors were the best ML algorithms for the prediction of CIN patients.</p> <p><b>Conclusion:</b> IPI might be used as an easily obtainable marker for CIN prediction using ML algorithms.…”
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Distribution of demand points by level.
Published 2024“…Then, the epsilon constraint method was used to address the multi-objective model, followed by designing the genetic algorithm based on the problem characteristics for solutions. …”