Optimum feature set for classification using both core and margin information utilizing GLCM, GRLM, and GLSZM texture methods and SVM-RBF classification algorithm. حسب Laurentius O. Osapoetra (9931759)

Data_Sheet_1_Comparison of Resting-State Functional MRI Methods for Characterizing Brain Dynamics.DOCX حسب Eric Maltbie (445150)

"…Several different analysis approaches have been developed for examining these resting-state dynamics including sliding window connectivity (SWC), phase synchrony (PS), co-activation pattern (CAP), and quasi-periodic patterns (QPP). …"

Video_1_Comparison of Resting-State Functional MRI Methods for Characterizing Brain Dynamics.MP4 حسب Eric Maltbie (445150)

"…Several different analysis approaches have been developed for examining these resting-state dynamics including sliding window connectivity (SWC), phase synchrony (PS), co-activation pattern (CAP), and quasi-periodic patterns (QPP). …"

Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX حسب 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.…"

Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF حسب 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. حسب 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. حسب Waseem Al-Aqqad (14123917)

Flowchart of the phase optimization algorithm. حسب 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. حسب Xueliang Guo (4797057)

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

Available functions in the phase reconstruction package. حسب 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... حسب Melisa Menceloglu (7610213)

الموضوعات:

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... حسب Melisa Menceloglu (7610213)

الموضوعات:

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

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

الموضوعات:

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

الموضوعات:

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

Application of the algorithm to unseen data. Presynaptic neurons labelled by rabies viral injection into layer 2/3 primary visual cortex in Penk-Cre mice. حسب Adam L. Tyson (10892822)

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

الموضوعات:

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