Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

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Cobalt-Complexed Acetylenic Tetrads, a Molecular Scaffold for Quadruple Ionic Functionalization Reactions by Gagik G. Melikyan (1532986)

“…A methodology was developed for introducing nucleophiles into the α- and α′-positions of the dicobalt hexacarbonyl-complexed acetylenic tetrads. A synthetic algorithm included the entry of a given nucleophile to both termini of the acetylenic tetrad <b>A</b> (α-Nu¹-α′-Nu¹; α-Nu²-α′-Nu²), or a pair of select nucleophiles arranged unsymmetrically in opposing sequences (α-Nu¹-α′-Nu²; α-Nu²-α′-Nu¹). …”

Fig 1 - by Vlad Ploscaru (13767257)

Subjects: “…artificial intelligence algorithms…”

BNA Neuromarker scores as a function of LEDD. by Sharon Hassin-Baer (420354)

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(a) Flow chart for PSO algorithm (b) position and velocity update of particles (c) convergence of PSO. by Waqas Anjum (8415186)

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

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Reward function related parameters. by Honglei Pang (22693724)

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Boxplots for the maximising function of pattern matching technique. by Pratik Mullick (12851011)

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Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”

Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

“…The model also includes <i>H</i> other resources for species to compete over, which create additional variability (omitted for clarity, see text). (B) The synthetic dataset is generated by repeatedly selecting a random subset of 15 species and allowing the community to equilibrate (see Eqs <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.e001" target="_blank">1a</a>–<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.e004" target="_blank">1d</a>). …”

BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)

“…(C) Schematic representation of the implementation of the genetic algorithm (GA) using the metabolic network presented in B. …”

Approximate energy consumed per particles in <i>nano Joules</i> (<i>nJ</i>) for various computation platforms and algorithms (A: first algorithm, B: second algorithm, C: third algo... by Abedalmuhdi Almomany (18547669)

Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)

An Algorithmic Approach Based on Data Trees and Genetic Algorithms to Understanding Charged and Neutral Metal Nanocluster Growth by Chelsea M. Mueller (8351745)

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Impact of POMCP parameters on the estimated value function. by Benoîte de Saporta (20454662)

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