Abstract: To effectively address the issue of privacy-preserving decision tree classification services in IoT big data scenarios, this study combines decision tree classification models with ...
Does not support negative logic (NOT gates). Only supports coherent fault trees (i.e. those whose logic is reducible to AND gates and OR gates). Does not support common cause failure groups. - times: ...
Abstract: This study aims to classify anxiety disorders in adolescents using three machine learning algorithms, namely naive bayes, C4.5, and K-Nearest Neighbor (K-NN). The data used was taken from ...
Background: Long-term survival of children and adolescents (CA) diagnosed with cancer has hardly been researched in Slovenia. Our aim was to present the survival trend at the population level over a ...
The INBD model proposed in the paper "Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections" was trained on the Pinus taeda species.