Parameter search fine-tuned through Differential Evolution algorithm. by Bolaji P. Eniwaye (12915339)

“…<p><b>A).</b> Evolutionary algorithm procedure, differential evolution, was used to optimize model parameters. …”

Local magnetization and susceptibility as a function of temperature from Metropolis simulations with the global archetype model. by Giulio Ruffini (383994)

Application of multi-scale community detection to subject-level and group-level resting state functional brain networks. by Arian Ashourvan (6685232)

Identification of hub genes from the PPI network by bottleneck algorithm using the cytoHubba Cytoscape plugin. by Cihat Erdogan (12529243)

Normalized smooth pupil dilation function (“Effect”, ordinate, normalized mm) versus time (seconds) derived from a generalized additive model with time, sex, and stimulus intensity... by Emmanuel B. Alabi (8321184)

Proposed decision tree algorithm for thromboelastometry parameters to differentiate COVID-19 patients according to disease severity. by Rodrigo B. Aires (11949690)

Appendix A: Stability of boundary fixed points when the feedback control function f is in quadratic forms.;Appendix B: Constructive proof for the existence of control laws in the g... by Xin Wang (91924)

Strong negative correlation between the precision of algorithms and the evolutionary distance from the training data. by Sven B. Gould (12237287)

Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective by Xiangyang Jia (10026932)

Reconstruction performance across algorithms, dynamics, cell types, and recording length. by Christian Donner (3663007)

“…<b>D</b> The mean average precision score (APS, upper panel) and Matthews correlation coefficient (MCC, lower panel), estimated across all connections, obtained from all inference algorithms and the eANN across three different dynamical regimes. …”

Graphical summary and pseudo code of our gait signatures framework and algorithm. by Taniel S. Winner (17296029)

Automatic cropping algorithm. by Thomas W Georgi (12427189)

List of Arabidopsis thaliana, Fagopyrum esculentum and Zea mays RNA-seq samples from transcriptome maps. by Artem S. Kasianov (8783363)

Subjects:

The details of the Scelestial algorithm. by 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>. …”

Depiction of the theory, can sequence infer function? by Ashley I. Heinson (8124374)

Constructing the dynamical law. by Robert Marsland (8616483)

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…One can expect that the combination of multi-dimensional parameters from evolutionary biology, cell biology and molecular biology on evolutionary diverse species will significantly improve the next generation of machine leaning algorithms that serve localisation (and function) predictions.…”

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). by Yu Liu (6938)

“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”

Plots of the Noise Power Spectrum (NPS) versus spatial frequency (cycles/mm) from the in-focus plane for the Dual-Energy (DE) Virtual Monochromatic (VM) with Very-Deep Super-Resolu... by Tsutomu Gomi (7382183)