TreeMap 2016 Stand Size Code 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-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…”

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Subjects:

Scripts for GC, CRC, and IBD in Python and R by Animesh Acharjee (6400427)

Subjects:

Code used for data analysis in this study. by Nourin Sultana (22339463)

“…Risk factors for LBW were identified by four feature selection techniques including Boruta-based selection (BFS), LASSO regression, Elastic Net and Random Forest (RF). Six ML algorithms, including Logistic Regression (LR), RF, Decision Tree (DT), Artificial Neural Networks (ANN), Extreme Gradient Boosting (XGB), and Light Gradient Boosting Machine (LGBM) were performed to predict LBW. …”

G R code algorithm. by R. Sakthivel (2589547)

“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”

Code and data. by Shangyang Jin (21772466)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

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

Subjects:

Maple code for algorithm 3. by Peter Thompson (165468)

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. …”

code&data by Liyuan Liu (18298084)

The metro zone algorithm pseudo-code. by Sarah Alhumoud (22258183)

Data and code. by Hao Cao (2248066)

Dual deconvolution algorithm: analysis code with experimental data by Wonshik Choi (18877660)

“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”

data_code.zip by Mengmeng Gong (20129994)

data_codes.rar by Zhe Li (22011704)

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

Data&Code by anonymous author (20478659)

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

“…TreeMap 2016 is being used in both the private and public sectors for projects including fuel treatment planning, snag hazard mapping, and estimation of terrestrial carbon resources. We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

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. …”