File size: 1,089 Bytes
9aa07c3 a0ecc3d 9aa07c3 d67c5ad 9aa07c3 8e207b9 9aa07c3 a0ecc3d 9aa07c3 a0ecc3d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
---
license: mit
---
# AML4CPU: Implementation of Adaptive Machine Learning for Resource-Constrained Environments
Results and trained models for experiments 1-3.
- π **Paper**: [View on Lecture Notes in Computer Science - LNCS](https://link.springer.com/chapter/10.1007/978-3-031-82346-6_1)
- π **Paper-Conference**: [Adaptive Machine Learning for Resource-Constrained Environments](https://aiimlab.org/pdf/events/KDD_2024_Workshop_On_Discovering_Drift_Phenomena_in_Evolving_Landscape_DELTA/Adaptive%20Machine%20Learning%20for%20Resource-Constrained%20Environments.pdf)
- π€ **Dataset on HuggingFace**: [adaptive_cpu_utilisation_dataset](https://huggingface.co/datasets/ICOS-AI/cpu_utilisation_dataset)
- π€ **Models on HuggingFace**: [adaptive_cpu_utilisation_prediction_models](https://huggingface.co/ICOS-AI/adaptive_cpu_utilisation_prediction_models)
- π **Poster**: [View Poster](https://zenodo.org/records/14075777)
- π **Paper (Online)**: [View Paper](https://zenodo.org/records/14106065)
- **GitHub Repository**: [AML4CPU](https://github.com/sebasmos/AML4CPU/)
|