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Applications and Techniques for Fast Machine Learning in Science

Frontiers in Big Data(2022)10.3389/fdata.2022.787421Source: DataRank Database

Applications and Techniques for Fast Machine Learning in Science is a research paper published in Frontiers in Big Data (2022). On theSindex it has a DataRank of 0. It has been cited 75 times.

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Open Access75 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)Impact (FWCI 29.11)OA: goldTopics (52)Linked Datasets (3)DataCite Reuse (3)IDs (PubMed, 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 (47)

Nhan Viet Tran ORCID,Joshua Agar ORCID,Michaela Blott ORCID,Giuseppe Di Guglielmo ORCID,Javier Duarte ORCID

Live enrichment

PubMed:35496379 OpenAlex:https://openalex.org/W3208839263

National Science Foundation

Grant: 2003098

Collaborative Research: MLWiNS: ANN for Interference Limited Wireless Networks

National Science Foundation

Grant: 1839234

TRIPODS+X:RES: Collaborative Research: Creating Inference from Machine Learned and Science Based Generative Models

National Science Foundation

Grant: 1740352

E2CDA: Type I: Collaborative Research: Energy-efficient analog computing with emerging memory devices

National Science Foundation

Grant: 1836650

S2I2: Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP)

National Institutes of Health

Grant: 5R01HL131750-03

Multiscale Predictive Modeling of Blood Cell Damage with Experimental Verification

National Science Foundation

Grant: 2039310

Multiphase Modelling and Experimental Characterization of Respiratory Microdroplet Suspension and Resuspension Dynamics Near Surfaces

National Science Foundation

Grant: 1934757

Collaborative Research: Advancing Science with Accelerated Machine Learning

FWCI

29.11

Citation Percentile

1.0%

Influential Citations

Citation Trend

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.3389/fdata.2022.787421

GOLDhttps://doi.org/10.3389/fdata.2022.787421

publisherhttps://doi.org/10.3389/fdata.2022.787421

publisherhttps://www.frontiersin.org/articles/10.3389/fdata.2022.787421/full

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35496379

Fields of Study

Scientific Computing and Data ManagementNeural Networks and Reservoir ComputingAnomaly Detection Techniques and ApplicationsMedicineComputer SciencePhysics02 engineering and technology01 natural sciences0103 physical sciences0202 electrical engineering, electronic engineering, information engineering

Keywords

Computer scienceScientific discoveryResource (disambiguation)Data scienceArtificial intelligenceddc:620Big DataFOS: Computer and information sciencesComputer Science - Machine LearningPhysics - Instrumentation and DetectorsFOS: Physical sciencesInformation technologycoprocessorsMachine Learning (cs.LG)Machine Learning46 Information and Computing Sciences (for-2020)machine learning for scienceInformation and Computing Sciences4611 Machine Learning (for-2020)Hardware Architecture (cs.AR)Machine Learning and Artificial IntelligenceInformation systemsparticle physicsComputer Science - Hardware ArchitectureEngineering & allied operationsNetworking and Information Technology R&D (NITRD) (rcdc)Data management and data scienceInstrumentation and Detectors (physics.ins-det)4605 Data management and data science (for-2020)T58.5-58.64heterogeneous computingmachine learning for science; big data; particle physics; codesign; coprocessors; heterogeneous computing; fast machine learning004620codesignNetworking and Information Technology R&D (NITRD)Physics - Data Analysis, Statistics and Probabilityfast machine learningMachine Learning and Artificial Intelligence (rcdc)info:eu-repo/classification/ddc/6204609 Information systems (for-2020)Data Analysis, Statistics and Probability (physics.data-an)

Open-source codesign of machine learning algorithms on FPGAs for scientific discovery

10.5281/zenodo.10003929Zenodo

Open-source codesign of machine learning algorithms on FPGAs for scientific discovery

10.5281/zenodo.10003928Zenodo

Applications and Techniques for Fast Machine Learning in Science

10.48550/arxiv.2110.13041arXiv