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cs.LG2025
EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection
Kanishk Chaturvedi, Johannes Gasthuber, Mohamed Abdelaal
This paper introduces EdgeMLOps, a framework leveraging Cumulocity IoT and thin-edge.io for deploying and managing machine learning models on resource-constrained edge devices. We…
cs.LG2024★ 2 cited
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction
Tobias Clement, Hung Truong Thanh Nguyen, Nils Kemmerzell +2
This paper presents an approach integrating explainable artificial intelligence (XAI) techniques with adaptive learning to enhance energy consumption prediction models, with a focu…