Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

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

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Algorithm performance test results. by Yue Guo (695495)

Variables tested in the ML algorithms. by Gilson Yuuji Shimizu (19837946)

“…</p><p>Methods</p><p>The models were trained and validated on a retrospective cohort with the use of data from Ribeirão Preto Medical School (RPMS), University of São Paulo, Brazil. …”

Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

iFAD∞ and other flow direction algorithms with test data by cheng (21018992)

“…<p dir="ltr">The Java codes for all the drainage direction algorithms used in the study entitled “A New Multiple Flow Direction Algorithm for Determining Limited Dispersive Domain Based on Flow Aggregation Technique” are provided as an Eclipse Java project. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

ROC curves of the training set and the testing set under the XGBoost algorithm. by Yong Zhang (5893)

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Improve algorithm settings. by Hui Zhao (7395)

Subjects:

GenSearch algorithm. by Tarun Khajuria (12117309)

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Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset. by Jaime B. Matas-Bustos (21772430)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Flow diagram of cuckoo search algorithm. by Muhammad Sadiq (9449915)

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

“…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …”

Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. by Jaime B. Matas-Bustos (21772430)

“…<p>Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset.…”

The robustness test results of the model. by Xini Fang (20861990)

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Comparison of different optimization algorithms. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

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Comparison of the 25 ML algorithms in terms of precision, delay, and ROC-AUC. by Tian Xia (139140)