Real-Time Edge Computing vs. GPU-Accelerated Pipelines for Low-Cost Microscopy Applications
27 pages, 13 figures, 10 tables . -- This article belongs to the Special Issue Real-Time Computer Vision
| Autores: | , , , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/387619 |
| Acesso em linha: | http://hdl.handle.net/10261/387619 https://api.elsevier.com/content/abstract/scopus_id/86000576362 |
| Access Level: | acceso abierto |
| Palavra-chave: | AI-driven real-time microscopic image processing Edge computing Low-cost microscopy Open flexure Phytoplankton identification |
| Resumo: | 27 pages, 13 figures, 10 tables . -- This article belongs to the Special Issue Real-Time Computer Vision |
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