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Scientific Research Publishing2d
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
IEEE3d
Prediction of U2R attack in Wireless Networks using Novel CNN Alexnet in Comparison with Random Forest Algorithm - IEEE Xplore
The main objective of proposed research is to employ DL (Deep Learning) models to predict User-to-Root (U2R) attack using CNN (Convolution Neural Network) Alexnet. In this study, the dataset used was ...
Virtual forest simulations show that randomly distributed planting designs enhance productivity
A new paper published in Nature Communications reveals how the way tree species are arranged in a forest can help optimize ...
EurekAlert!19h
The right mix and planting pattern of trees enhance forest productivity and services
A new study published in Nature Communications reveals that how tree species are arranged in a forest can significantly ...
IEEE4d
Quad Rapidly-Exploring Random Tree Star Algorithm With Improved Potential Force for Unmanned Aerial Vehicle Path Planning
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.