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)

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. …"

ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

"…For the numerical case, user can directly provide <i>ab initio</i> data (adiabatic PESs and NACTs) as input files to this software or can generate those input files through in-built python codes interfacing MOLPRO followed by ADT calculation. …"

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)

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. …"

Constructing the dynamical law. حسب Robert Marsland (8616483)

S1 File - حسب Yuh-Chin T. Huang (17867207)

الموضوعات:

S1 Dataset - حسب Yuh-Chin T. Huang (17867207)

الموضوعات:

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

الموضوعات:

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). …"

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic حسب NELSON L. DIAS (8078003)

"…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …"

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

الموضوعات:

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.…"

A flow diagram to explain the algorithm named 2BDP (Biomarker Discovery Process at Binomial Decision Point) that we used to find the best fitting model to predict RRiF. حسب Nabarun Chakraborty (535772)

<b>Algorithm Pseudocode</b> حسب Yibin Zhao (22425801)

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

الموضوعات:

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

الموضوعات: