Bagging Model Algorithm Flow. by Wen Yu (384130)

Data used in this study. by Qinghua Li (398885)

“…The study uses elevation values from ICESat-2 as ground truth, covering several parameters including COP30DEM, canopy height, forest coverage, slope, terrain roughness and relief amplitude. …”

Comparison of algorithms from other papers. We mark the top three results in bold. by Wangyouchen Zhang (21681025)

Runtime (s) of 12 algorithms across six datasets. by Siyi Huang (8562174)

Details of multiple GWO algorithm variants. by Genliang Li (5816264)

Subjects:

Comparison of different algorithms. by Zhijian Qu (6920060)

“…Simulation calculations with data from a railroad bureau in southern China yielded that the average reliability of the contact networks system was 0.969, and the maintenance cost was 1,029 thousand yuan, spending 71 man-hours, when the maintenance method generated by the operation and maintenance strategy mentioned in this paper was used. …”

Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…This study aims to accurately estimate the renewable energy production rate to meet Türkiye’s electricity needs from renewable energy sources. For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”

Flowchart of algorithm principles. by Wenjuan Zhou (115285)

“…First, the Lasso algorithm and Pearson correlation coefficient method are applied to screen key multi-source features from wind turbine operation and maintenance data, quantifying their dynamic correlations with power output. …”

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. …”

K-means++ clustering 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. …”

bppMigration-algorithms-data.tgz by Ziheng Yang (22169779)

“…This challenging problem has been tackled most successfully in the Bayesian framework under the multispecies coalescent (MSC) model via Markov chain Monte Carlo (MCMC) computational algorithms. However, MCMC methods suffer from two serious problems: (i) mixing difficulties due to the high-dimensional state space with complex constraints, and (ii) the intrinsically serial nature of MCMC algorithms that defies parallelisation. …”

Machine learning algorithms using the inflammatory prognostic index for contrast-induced nephropathy in NSTEMI patients by Faysal Şaylık (15296054)

“…Naive Bayes and k-nearest neighbors were the best ML algorithms for the prediction of CIN patients.</p> <p><b>Conclusion:</b> IPI might be used as an easily obtainable marker for CIN prediction using ML algorithms.…”

Detailed walkthrough of Competitive Regression using Fig 2C as an example. by Eric V. Strobl (16854789)

Subjects:

Top 15 hub genes in five algorithms. by Tianqi Liu (1625776)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

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

“…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). …”

PFC value of algorithms on two datasets. by Xing Chen (140292)

“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”

Accuracy of cross-prediction classification (PR-AUC) results using two classification algorithms for the two CRC datasets by Yu et al. [ by Xinyu Han (2237545)

MB detection algorithm. by Ekim KÜLÜM (20846213)

“…In this study, microburst events were detected using meteorological data. A new algorithm was applied to Light Detection and Ranging (LIDAR) data and 3 different cup anemometer data were available for 1-min and 10-min measurement periods. …”

Flowchart of the proposed algorithm. by Huanyu Yang (6683780)

“…The sub-block selection algorithm sorts and filters sub-blocks based on the average pixel difference, reconstructing the input data to ensure accurate separation of melanin and hemoglobin. …”