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Dot Physics on MSN2d
Python Physics; Modeling an Exploding Spring in Different Reference FramesPhysics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...
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AZoBuild on MSNAI Models Predict Concrete Strength Using Recycled Glass, Boosting Green ConstructionA study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...
In addition, to further enhance the localization accuracy, boundary aware KNN (B-KNN) is proposed to adaptively deal with fingerprint matching according to inner area or boundary area. Extensive ...
In this paper, a CM method that is based on the KNN regression method and bagging ensemble strategy is proposed. The proposed method is validated by SCADA data collected from a field WT. The results ...
LASSO regression modeling using Python scikit-learn package ... reached 0.877 in the training cohort and 0.828 in the test cohort. The AUC value of the KNN model was 0.855 in the training cohort and 0 ...
Tokenizers for embedding models are not often implemented in languages other than Python. This becomes a major obstacle when trying to use embedding models in languages like C# or Java. Developers ...
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