Antihypertensive treatment algorithm. حسب Kira Bang Bove (9607123)

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases حسب Maru Song (22593561)

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Test on the remeshing algorithm with <i>N</i> = 50 points. حسب Ondrej Maxian (8722185)

Greedy optimization algorithm. حسب Alexis Bénichou (19832361)

Patient-reported function, pain interference, mood, and sleep vary by cluster membership. حسب Benedict J. Alter (9745466)

The details of the Scelestial algorithm. حسب Mohammad-Hadi Foroughmand-Araabi (6658772)

"…<p>The inputs to the Scelestial algorithm are a) a set of sequences <i>S</i>, b) the degree of restriction of the restricted Steiner tree <i>k</i>. …"

Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx حسب Takatsugu Aihara (4433524)

"…<p>Resting-state functional connectivity (RSFC) has been generally assessed with functional magnetic resonance imaging (fMRI) thanks to its high spatial resolution. …"

The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf حسب Dimitrios Menychtas (16935831)

Training accuracy/loss as a function of epochs for different datasets. حسب Hiam Alquran (17636906)

Kinematics timeries and features of cluster 1 before and one year after surgery. حسب Xavier Gasparutto (8374578)

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Algorithm membership function. حسب Mohamed Raef Smaoui (9865830)

"…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …"

Changes in the relative abundances of signaling functions across initial GA-LR pairs. حسب Erick Armingol (5125595)

"…Changes were computed from the fold change (FC) between the relative abundance in each of the 100 runs of the genetic algorithm (GA) with respect to the corresponding relative abundance in the complete list of LR pairs (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010715#pcbi.1010715.s002" target="_blank">S1 Table</a>), and shown as the log10(FC+1) transformation (x-axis). …"

Kinematic features for all patients before (PRE) and one year after surgery (P1Y) as well as all control group values. حسب Xavier Gasparutto (8374578)

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Image 1_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.jpeg حسب Jared Lichtarge (20548571)

"…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…"

Kinematics timeries and features of cluster 3 before and one year after surgery. حسب Xavier Gasparutto (8374578)

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Kinematics timeries and features of cluster 2 before and one year after surgery. حسب Xavier Gasparutto (8374578)

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