Communication Dans Un Congrès Année : 2023

Towards Improving Data Completeness in Drone-Based Waste Detection

Résumé

This paper explores the potential applicability of a previously proposed data quality model and metrics applied to the context of dronebased waste detection. The proposed framework aims to assess the completeness of waste detection data. The paper discusses the challenges and opportunities of adapting the existing model and quality indicators to this use case and identifies potential areas for future research. The proposed framework can inform the development of a more effective data engineering solution adaptable to the context of waste detection using drones.
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Dates et versions

hal-04158804 , version 1 (11-07-2023)

Identifiants

  • HAL Id : hal-04158804 , version 1

Citer

Souheir Mehanna, Abderrahmane Maaradji, Zoubida Kedad, Mohamed Chachoua, Assia Soukane, et al.. Towards Improving Data Completeness in Drone-Based Waste Detection. The 7th Conference for Information & Communication Technologies for Organization & Society (ICTO), Jul 2023, Paris, France. ⟨hal-04158804⟩

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