Neuromorphic Bayesian Classification System Based on Stochastic Computing for Resource-Constrained Edge Devices

Primary funding (employment): ANR BAYOEN ( ANR-FAI1-0006-01 ) Additional / contributing funding: HORIZON-EIC-2022-PATHFINDEROPEN BAYFLEX (101099555 )

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-20
DOI
https://doi.org/10.5281/zenodo.16903506
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Neuromorphic Bayesian Classification System Based on Stochastic Computing for Resource-Constrained Edge Devices

Zenodo (CERN European Organization for Nuclear Research)
Diverse Scientific and Economic Studies
article

Neuromorphic Bayesian Classification System Based on Stochastic Computing for Resource-Constrained Edge Devices

article en

Abstract

Primary funding (employment): ANR BAYOEN ( ANR-FAI1-0006-01 ) Additional / contributing funding: HORIZON-EIC-2022-PATHFINDEROPEN BAYFLEX (101099555 )

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 36%
Diverse Scientific and Economic Studies
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Neuromorphic Bayesian Classification System Based on Stochastic Computing for Resource-Constrained Edge Devices · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS