2 天前 - … to count trees and measure their height in an oil palm plantation is useful in production
planning and decision-making. Using Unmanned Aerial Vehicles (UAVs) to count trees …

2 天前 - … the accuracy and stability of decision trees by using the ensemble approach.
Bagging decision trees train multiple decision tree classifiers independently, with training each …

2 天前 - … Decision tree: The Decision Tree model performs less favorably with an R 2 score
of 0.21 and a relatively high RMSE of 0.87. These results suggest that the model struggles to …

2 天前 - … as Monte Carlo simulations and decision trees are explained in a clear, accessible
manner, empowering students to make informed decisions under uncertain and variable …

2 天前 - … In this study, Spotify track data audio attributes are subjected to feature selection
using different algorithms (Decision Tree - RFE, Logistic Regression - RFE, and Random Forest…

2 天前 - … method called a binary seagull optimized dynamic decision tree (BSODDT),
which is then … ), Smart irrigation system, Binary seagull optimized dynamic decision tree (BSODDT) …

2 天前 - … disease, this study sought to design a system that combines various machine
learning techniques, such as K-nearest Neighbor, Naive Byes, linear regression, decision tree, …

2 天前 - This thesis aims to enhance Genome Scale Metabolic Models (GEMs) by
integrating Gene Regulatory Networks (GRNs) to improve modeling capabilities for the yeast …

2 天前 - … of independent models, also known as decision trees, can yield precise outcome
than a standalone decision tree. Each tree contributes a classification when Random Forest is …

2 天前 - … make decisions the same way that many of us do. It’sa risk versus benefit decision.
… Are there high bushes and thick trees compared to bushes that are only 3′ tall and tree …