Reducing large adaptation spaces in self-adaptive systems using classical machine learning-Reference-Cited by-同舟云学术

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Reducing large adaptation spaces in self-adaptive systems using classical machine learning

Published:2022-08 Issue: Volume:190 Page:111341
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Quin Federico^ORCID,Weyns Danny^ORCID,Gheibi Omid^ORCID

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference70 articles.

1. Supervised machine learning approaches for attack detection in the IoT network;Ahmad,2022

2. Utilizing Twitter data for identifying and resolving runtime business process disruptions;Ayoub,2018

3. Federated machine learning as a self-adaptive problem;Baresi,2021

4. Models@ run.time;Blair;Computer,2009

5. Patient self-management of chronic disease in primary care;Bodenheimer;JAMA J. Am. Med. Assoc.,2002

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1. A Proactive Self-Adaptation Approach Based on Ensemble Prediction for Service-Based Systems;Journal of Circuits, Systems and Computers;2024-03-14

2. Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation;ACM Transactions on Autonomous and Adaptive Systems;2023-12-13

3. Deep Learning for Self-Adaptive System Analyzer Improvement;2023 Third International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS);2023-12-05

4. A reinforcement learning-based approach for online optimal control of self-adaptive real-time systems;Neural Computing and Applications;2023-07-21

5. Joint Learning: A Pattern for Reliable and Efficient Decision-Making in Self-Adaptive Internet of Things;Proceedings of the 28th European Conference on Pattern Languages of Programs;2023-07-05

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