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Exploratory Study of oneM2M-Based Interoperability Architectures for IoT: A Smart City Perspective.

, , , , , , и . ICSA-C, стр. 16-23. IEEE, (2024)

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Karthik Arumugam

Karthik Gururaj

Karthik Narasimhan

Karthik Baddam

Karthik Balakrishnan

 

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Data-driven Adaptation in Microservice-based IoT Architectures., , и . ICSA Companion, стр. 59-62. IEEE, (2020)Agile4MLS - Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience., , , и . IEEE Softw., 39 (6): 43-50 (2022)HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps., , , и . CoRR, (мая 2025)Toward Changing Users behavior with Emotion-based Adaptive Systems., , , и . UMAP, стр. 85-95. ACM, (2023)Software Architecture for ML-based Systems: What Exists and What Lies Ahead., и . WAIN@ICSE, стр. 121-128. IEEE, (2021)EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems., , и . ICSA-C, стр. 230-237. IEEE, (2024)Architecting Digital Twin for Smart City Systems: A Case Study., , , , и . ICSA-C, стр. 326-334. IEEE, (2024)Leveraging LLMs for Dynamic IoT Systems Generation Through Mixed-Initiative Interaction., , , , , и . ICSA Companion, стр. 488-497. IEEE, (2025)LoCoML: A Framework for Real-World ML Inference Pipelines., , , и . CAIN, стр. 83-88. IEEE, (2025)FEAST: a framework for evaluating implementation architectures of self-adaptive IoT systems., , и . SAC, стр. 1440-1447. ACM, (2022)