Processed data for figures. by Jin Zhang (53297)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

This is The amount of medical waste generated and processed in China. by Chen Hao (352436)

The amount of medical waste generated and processed in China. by Chen Hao (352436)

Automated Resource Recovery Processes for Electronic Waste Recycling by Aseni Senanayake (21584965)

Decoding process. by Jihui Hu (19812736)

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

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

“…The missForestPredict R package proposes an adaptation of the missForest imputation algorithm that is fast, user-friendly and tailored for prediction settings. …”

Flowchart of Random Aggregate Placement Process. by Nan Ru (9594384)

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

NSGA-II process based on minimum envelope clustering. by Chen Hao (352436)

Improved random forest algorithm. by Zhen Zhao (159931)

“…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”

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

Comparison of algorithms across metrics in test problems. by Jihui Hu (19812736)

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The selection process of the ONDL model among other models. by Nour Eldeen Mahmoud Khalifa (19259450)

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TreeMap 2016 Forest Type Algorithm (Image Service) by U.S. Forest Service (17476914)

“…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-forest-type-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_ForestType_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…”

ANOVA was performed to test the differences between the algorithms for each indicator. by Jihui Hu (19812736)

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

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

BER comparison among PSM-based feedback algorithm, SBF algorithm, and perfect CSI using Monte-Carlo simulation. by Sarmad Sohaib (21273402)

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