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Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing
负责人:
关键词:
Cognitive Agent-based Computing;Multiagent System;Agent-Based Modeling;Green Computing;Computer applications;Carbon Footprint;Software Tools
DOI:
doi:10.5061/dryad.mq793
摘要:
experiments demonstrated two important results: Primarily CABC-based modeling approach such as using Agent-based Modeling can be an effective approach
Data from: A new hierarchy of phylogenetic models consistent with heterogeneous substitution rates
负责人:
关键词:
ModelTest;Lie Markov models;model selection;phylogenetics;multiplicative closure
DOI:
doi:10.5061/dryad.461g6
摘要:
of DNA substitutions regardless of taxon sampling. Some well-known models in popular use are within this class, but are either overly simplistic (e.g., the Kimura
Data from: Modeling character change heterogeneity in phylogenetic analyses of morphology through the use of priors
负责人:
关键词:
Bayesian estimation;morphology;Paleontology;phylogeny;priors
DOI:
doi:10.5061/dryad.sb8h1
摘要:
this assumption in a Bayesian context. Using empirical datasets, we perform model fitting to illustrate cases in which modeling asymmetric transition rates amo
Data from: ModelOMatic: fast and automated comparison between RY, nucleotide, amino acid, and codon substitution models
负责人:
关键词:
model selection;phylogenetics;substitution models;AIC
DOI:
doi:10.5061/dryad.gq0pb
摘要:
es, such as maximum likelihood and Bayesian inference, are now established as the preferred methods of inference. The choice of models that a researcher use
Data from: Applications of three-dimensional box modeling to paleontological functional analysis
负责人:
关键词:
Computer modelling;Jurassic;Cambrian;Functional morphology;Stegosaurus stenops;Protocinctus mansillaensis;Allosaurus fragilis;Palaeobiology;Palaeontology
DOI:
doi:10.5061/dryad.v9b30
摘要:
Functional analysis through computer modeling can inform on how extinct organisms moved and fed, allowing us to test long-standing paleobiological
Data from: Nonlinear growth: an origin of hub organization in complex networks
负责人:
关键词:
complex networks;Network growth model;Hubs;Neural development;Rich-club organization
DOI:
doi:10.5061/dryad.6h8pm
摘要:
r, classical models of how hubs originate during network development unrealistically assume that new nodes attain information about the connectivity (for examp
Data from: A stochastic model for annual reproductive success
负责人:
关键词:
Ecology: population;Modeling: population ecology;Demography;mammal;bird;reptile;Modeling: population ecology;modeling: applied population;Theory
DOI:
doi:10.5061/dryad.1087
摘要:
biological processes and can easily be linked to models of environmental stochasticity or selection because of its parametric structure. In addition, it reveals tha
Data from: Modeling central metabolism and energy biosynthesis across microbial life
负责人:
关键词:
phylogenetic trees;metabolic models;core metabolism;pathway analysis
DOI:
doi:10.5061/dryad.gs51v
摘要:
in genome-scale metabolic models, and the need for extensive gapfilling to support complex biomass reactions, often results in predicting unrealistic yields or unreali
Data from: Constructing predictive models of human running
负责人:
关键词:
human running;kinematics;motion capture
DOI:
doi:10.5061/dryad.r9v30
摘要:
. The spring-loaded inverted pendulum (SLIP) provides a starting point for modelling running, and generates ground reaction forces that resemble those
Data from: How does spatial resolution affect model performance? A case for ensemble approaches for marine benthic mesophotic communities
负责人:
关键词:
spatial grain;Coral;Grid Size;Macroalgae;Species distribution modelling;sponges;spatial scale
DOI:
doi:10.5061/dryad.nh07v50
摘要:
Aim: To investigate how changing grid size can alter model predictions of the distribution of mesophotic taxa and how it affects different modelling

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