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Aedes-AI: Neural network models of mosquito abundance

PLoS Computational Biology(2021)10.1371/journal.pcbi.1009467Source: DataRank Database

Aedes-AI: Neural network models of mosquito abundance is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0.

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0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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Cite:

Linked data & code

Aedes-AI: Neural Network Models of Mosquito Abundance · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: goldTopics (56)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (3)

Sean Current ORCID,J. Lega ORCID,Adrienne C. Kinney ORCID

Live enrichment

PubMed:34797822 OpenAlex:https://openalex.org/W3153419092

Foundation for the National Institutes of Health

Grant: GM132008

AFOSR/AFRL Collaborative Center for Aeronautical Sciences

Grant: GR115527

National Institutes of Health

Grant: 5T32GM132008-03

Computational and mathematical modeling of biomedical systems

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by

journalhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009467&type=printable

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009467&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1009467

journalhttps://doi.org/10.1371/journal.pcbi.1009467

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34797822

Fields of Study

Mosquito-borne diseases and controlSpecies Distribution and Climate ChangeDengue and Mosquito Control Research03 medical and health sciences0302 clinical medicine

MeSH Terms

Mosquito VectorsVector Borne DiseasesAedesAnimalsHumansModels, BiologicalPopulation DynamicsStochastic ProcessesSystems AnalysisUnited StatesWeatherDatabases, FactualNeural Networks, ComputerComputational BiologySpatio-Temporal Analysis

Keywords

Artificial neural networkArtificial intelligenceComputer scienceRecurrent neural networkAbundance (ecology)ReplicateNetwork modelMachine learningEcologyBiologyMathematicsStatisticsFOS: Computer and information sciencesComputer Science - Machine LearningSystems AnalysisDatabases, FactualQH301-705.5Population DynamicsVector Borne DiseasesMosquito VectorsModels, BiologicalMachine Learning (cs.LG)Spatio-Temporal AnalysisAedesAnimalsHumansBiology (General)Quantitative Biology - Populations and EvolutionWeatherStochastic ProcessesPopulations and Evolution (q-bio.PE)Computational BiologyUnited StatesFOS: Biological sciencesNeural Networks, ComputerResearch Article

Sustainable Development Goals

SDG 3: 3. Good health

Aedes-AI: Neural Network Models of Mosquito Abundance

10.48550/arxiv.2104.10771arXiv