D4.1 AI-based CDW classification software utilizing low-cost sensors' inputs

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-05
DOI
https://doi.org/10.5281/zenodo.12734333
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

D4.1 AI-based CDW classification software utilizing low-cost sensors' inputs

Zenodo (CERN European Organization for Nuclear Research)
Advanced Sensor and Energy Harvesting Materials
article

D4.1 AI-based CDW classification software utilizing low-cost sensors' inputs

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Czech Technical University in Prague (CZ)
Openalex Percentile: Top 100%
Advanced Sensor and Energy Harvesting Materials
DOIOpen Access PDFOpenAlex
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D4.1 AI-based CDW classification software utilizing low-cost sensors' inputs · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS