Abstract: The use of random forests for classification of multisource data is investigated in this paper. Random Forest is a classifier that grows many classification trees. Each tree is trained on a ...

Abstract: This paper proposes a Cascaded Random Forest (CRF) method, which can improve the classification performance by means of combining two different enhancements into the Random Forest (RF) ...

Mercedes AMG C63S Coupé pushes the limits on the Nürburgring, placing the performance coupe in one of the world’s best-known ...

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...

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36 of 42 sequences were excluded by criteria of sequence length less than 500 base pairs. Model computational performance was determined to see how practical each model may be in real-world situations ...