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Developing a novel force forecasting technique for early prediction of critical events in robotics

PLoS ONE(2020)10.1371/journal.pone.0230009Source: DataRank Database

Developing a novel force forecasting technique for early prediction of critical events in robotics is a research paper published in PLoS ONE (2020). On theSindex it has a DataRank of 0. It has been cited 3 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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Cite:

Linked data & code

Replication Data for Time Series Forecasting and Prediction of Buckling Events in Robotic Needle Steering · Harvard Dataverse

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.24)OA: goldTopics (73)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

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 (2)

Ann Majewicz Fey ORCID,Meenakshi Narayan ORCID

Live enrichment

PubMed:32379827 PMC:PMC7205263 OpenAlex:https://openalex.org/W3021283935

National Center for Advancing Translational Sciences

Grant: UL1TR001105

National Institutes of Health

Grant: 4UL1TR001105-04

UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)

FWCI

0.24

Citation Percentile

0.5%

Citation Trend

2021

2024

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0230009&type=printable

GOLDhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0230009&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0230009&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0230009

journalhttps://doi.org/10.1371/journal.pone.0230009

Fields of Study

Robot Manipulation and LearningEEG and Brain-Computer InterfacesNon-Invasive Vital Sign MonitoringComputer ScienceMedicineEngineering0209 industrial biotechnology02 engineering and technologyAlgorithmsAnimalsBiomechanical PhenomenaCadaverData AccuracyForecastingGelatinHumansInjectionsLiverMachine LearningModels, BiologicalModels, StatisticalNeedlesRoboticsSwine

MeSH Terms

Data AccuracyMachine LearningAlgorithmsAnimalsBiomechanical PhenomenaCadaverForecastingGelatinHumansInjectionsLiverModels, BiologicalNeedlesRoboticsSwineModels, Statistical

Keywords

Autoregressive integrated moving averageRobustness (evolution)ComputationRobotComputer scienceArtificial intelligenceRoboticsTime seriesLinearizationSimulationAlgorithmMachine learningNonlinear systemPhysicsModels, StatisticalSwineScienceQRModels, BiologicalBiomechanical PhenomenaData AccuracyInjectionsLiverNeedlesCadaverMedicineAnimalsGelatinHumansAlgorithmsResearch ArticleForecasting

Replication Data for Time Series Forecasting and Prediction of Buckling Events in Robotic Needle Steering

10.7910/dvn/r7zlhzHarvard Dataverse