Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Both Novel CNN Alexnet and Random Forest were employed for the prediction of U2R attacks using the same sample size (N = 15). The accuracy of the suggested approach is validated at 92.4060%, ...

Rapidly-exploring random tree star (RRT*) has attracted intensive attention in track planning due to its asymptotic optimal properties. However, the RRT* algorithm plans costly trajectory paths.

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...