Comparison of algorithm performance aesults. by Chunjuan Li (7890182)

Subjects:

Feature selection using the Boruta algorithm. by Guang Tu (22054865)

“…</p><p>Results</p><p>Our study included 2,213 patients, of whom 345 (15.6%) experienced in-hospital mortality. The Boruta algorithm identified 29 significant risk factors, and the top 13 variables were used for developing machine learning models. …”

The speed of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)

The speed of anchor-free algorithms. by Olarewaju Mubashiru Lawal (14710251)

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

Subjects:

Improve algorithm settings. by Hui Zhao (7395)

Subjects:

Comparative overview of multi-objective optimization algorithms. by Xiaodan Li (132227)

Computational cost of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)

Computational cost of anchor-free algorithms. by Olarewaju Mubashiru Lawal (14710251)

Bagging Model Algorithm Flow. by Wen Yu (384130)

Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by Hossein Mashhadimoslem (11456548)

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

“…The missForestPredict algorithm is compared to mean/mode imputation, linear regression imputation, mice, k-nearest neighbours, bagging, miceRanger and IterativeImputer on eight simulated datasets with simulated missingness (48 scenarios) and eight large public datasets using different prediction models. missForestPredict provides competitive results in prediction settings within short computation times.…”

Algorithm comparison. by Manxian Yang (20521600)

“…In the initial stage, unmanned aerial vehicles (UAVs) are employed to collect data from the field, which is then used to construct accurate farm models. …”

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Algorithm: CL-selector. by Zhejun Sun (9873500)

Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. by Marialuisa Gandolfi (8639238)

Subjects:

Data Sheet 1_Active–reactive coordinated voltage regulation for rural distribution network considering demand response of large-scale aquaculture.zip by Jifan Zhang (12472275)

“…Accordingly, a voltage regulation optimization model is established with the goal of minimizing voltage fluctuations at the nodes of the distribution network by solving the weighted mean of vectors algorithm. Finally, a case study is used to verify the effectiveness of the proposed voltage regulation strategy, which is of great significance for promoting the development of rural distribution networks and economic industries.…”

Accompanying Data for "A novel robot-assisted calibration procedure for Optical Coordinate Measuring Systems" by Connor Gill (11626513)

NSGA-III algorithm flow chart. by Manxian Yang (20521600)

“…In the initial stage, unmanned aerial vehicles (UAVs) are employed to collect data from the field, which is then used to construct accurate farm models. …”