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E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing

Sensors(2024)10.3390/s24144620Source: DataRank Database

E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing is a research paper published in Sensors (2024). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: goldTopics (26)IDs (PubMed, PMC)

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Accessible (1/2)

Open Access

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Reusable (0/3)

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Authors (3)

Teresa Wu ORCID,Fleming Lure ORCID,Fulin Cai ORCID

Live enrichment

PubMed:39066018 PMC:PMC11280770

National Institute of Aging

Grant: 2R42AG053149-02A1

Multi-Modality Image Data Fusion and Machine Learning Approaches for Personalized Diagnostics and Prognostics of MCI due to AD

National Institute of Aging

Grant: 2038905

Collaborative Research: CPS: TTP Option: Medium: i-HEAR: immersive Human-On-the-Loop Environmental Adaptation for Stress Reduction

National Institute of Aging

Grant: 2038089

goldLicense: cc-by

publisherhttps://doi.org/10.3390/s24144620

publisherhttps://www.mdpi.com/1424-8220/24/14/4620/pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11280770

repositoryhttps://doaj.org/article/a6dba7e6774d42fe9f0b184debe0a7ad

Europe_PMChttps://europepmc.org/articles/PMC11280770

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

HumansAlzheimer DiseaseGaitAlgorithmsRadarHemodynamicsVital SignsDeep Learning

Keywords

SpectrogramDeep LearningRadar SensingContrastive LearningSub-bandRadarVital SignsChemical technologyHemodynamicsTP1-1185ArticleAlzheimer DiseaseHumansGaitAlgorithms