TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

“…<div>TreeMap 2016 provides a tree-level model of the forests of the conterminous United States.…”

Schematic diagram of elements in the delivery area. by Yingbo Mao (22522192)

Improved random forest algorithm. by Zhen Zhao (159931)

“…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …”

Schematic diagram of random forest algorithm. by Imee V. Necesito (12749885)

Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

“…Missing data in input variables often occur at model development and at prediction time. The missForestPredict R package proposes an adaptation of the missForest imputation algorithm that is fast, user-friendly and tailored for prediction settings. …”

Random Forest and Gradient Boosting algorithms. by Yvan J. Garcia-Lopez (20783591)

The schematic diagram of the iForest algorithm. by Zhibo Xie (6790775)

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Prediction performance compared with random forest algorithm. by Yixian Wen (12201388)

Determining the importance of factors in quantitative modeling by the RF algorithm. by Mahboobe Hojati (21702672)

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Determining the importance of factors in qualitative modeling by the RF algorithm. by Mahboobe Hojati (21702672)

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The basic process of feature selection of the random forest algorithm. by Jintao Li (448681)

The algorithm of the applied models. by Elif Tuçe Bal (21367965)

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Pseudocode for the missForestPredict algorithm - new observation. by Elena Albu (15181070)

Customer point clustering results. by Yingbo Mao (22522192)

“…First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. …”

Basic information of customer points. by Yingbo Mao (22522192)

“…First, the paper systematically sorts out the classification and definition of no-fly zones as well as their impact mechanisms on UAV path planning, and elaborates on the theoretical basis of vehicle-UAV collaborative delivery, including the constituent elements of the problem, methods for quantifying customer satisfaction, and the application framework of heuristic algorithms. …”

Main code. by Jingguo Bi (21439766)

Predictive variables screened by LASSO regression and Random Forest algorithm. by Da-cheng Wang (22232009)

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General model performance for different algorithms. by Binghan Xue (21253235)

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Performance of models by different algorithms. by Yong Zhang (5893)

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Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

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