Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX by Shakiru A. Alaka (9302864)

“…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”

Convergence curves on the functions CL4, CL11, CL13, CL14, CL18, CL19, C17F1, C17F2, and C17F4. by Mahmood A. Jumaah (22272371)

Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF by Shakiru A. Alaka (9302864)

“…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”

Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

The number of inactive nodes as a function of time steps in (a) a random network and (b) a scale-free network. by Waseem Al-Aqqad (14123917)

Flowchart of the phase optimization algorithm. by Maxim Terekhov (3429614)

“…<p>At stage II, phase vectors {Φ^top} providing cost function values F_c above 90% of maximum are selected as initial condition {Φ₀} for iterative NLS-search and selection of the optimum vectors {Φ^opt}. …”

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Available functions in the phase-shifting package. by Raul Castañeda (13932971)

Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

Scatter plots showing the relationship between inter-site |Δθ| in high-<i>q</i> (y-axis) and low-<i>q</i> (x-axis) states for representative frequencies (columns) and the five beha... by Melisa Menceloglu (7610213)

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Distributions of |Δθ| for the stable low-|Δθ| (left columns), stable high-|Δθ| (middle columns), and shifting-|Δθ| (right columns) networks for different <i>q</i> ranges in 5-perce... by Melisa Menceloglu (7610213)

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Comparison results on benchmark functions with traditional algorithms. by Xiaoyi Zhang (577299)

Results of the PSO-Kmeans-ANMS algorithm for the Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

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Results of the PSO-Kmeans-ANMS algorithm for the Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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Supporting Data for “All-temperature barocaloric effects at pressure-induced phase transitions” by Zhao Xueting (21796316)

“…The variable cell nudged elastic band method18 was employed to obtain the energy barrier of phase transition. The structure search for the low-temperature phase was conducted using the generic evolutionary algorithm implemented in the USPEX code^42–44. …”

Loss function values of target detection algorithms during training. by Guodong Su (7876934)

Pseudo algorithm of the GA algorithm used in this study. by Tuan Anh Pham (1346049)

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Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. by Jiaxi Wang (545353)

Limitation of the conventional DBT reconstruction algorithm. by Yunsu Choi (11993484)

Comparison of benchmark function results between improved algorithms. by Xiaoyi Zhang (577299)