Enhancing Efficiency and Reducing the Carbon Footprint of Cloud-Based Healthcare Applications through Optimal Data Preprocessing
This paper investigates the impact of data preprocessing on the performance, efficiency, and environmental footprint of AI models in cloud-based applications, focusing on a case study involving healthcare applications such as chronic disease detection. We analyze how preprocessing techniques affect...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/11/epjconf_cofmer2025_05005.pdf |
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