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ORCIDACM Transactions on Autonomous and Adaptive Systems, Volume 19
Volume 19, Number 1, March 2024
- Bradley R. Schmerl
, Javier Cámara, Martina Maggio:
Foreword: SEAMS 2022 Special Issue. 1:1-1:3 - Jia Li, Shiva Nejati, Mehrdad Sabetzadeh:
Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks. 2:1-2:35 - Jane Cleland-Huang, Theodore Chambers, Sebastián Zudaire, Muhammed Tawfiq Chowdhury, Ankit Agrawal, Michael Vierhauser:
Human-machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment. 3:1-3:35 - Samira Silva, Patrizio Pelliccione, Antonia Bertolino:
Self-Adaptive Testing in the Field. 4:1-4:37 - Omid Gheibi, Danny Weyns:
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems Using Lifelong Self-Adaptation. 5:1-5:57 - Xinwei Fang, Sinem Getir Yaman, Radu Calinescu, Julie Wilson, Colin Paterson:
Predicting Nonfunctional Requirement Violations in Autonomous Systems. 6:1-6:25 - Luciano Baresi, Davide Yi Xian Hu, Giovanni Quattrocchi, Luca Terracciano:
NEPTUNE: A Comprehensive Framework for Managing Serverless Functions at the Edge. 7:1-7:32
Volume 19, Number 2, June 2024
- Rami Bahsoon:
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments. 8 - Stefan Sarkadi:
Self-Governing Hybrid Societies and Deception. 9 - Saim Sunel, Erkin Çilden, Faruk Polat:
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters. 10 - Luis Hernán García Paucar, Huma Samin, Nelly Bencomo:
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements. 11 - Nianyu Li, Mingyue Zhang, Jialong Li, Sridhar Adepu, Eunsuk Kang, Zhi Jin:
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems. 12
Volume 19, Number 3, September 2024
- Jialong Li, Mingyue Zhang, Nianyu Li, Danny Weyns, Zhi Jin, Kenji Tei:
Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap. 13:1-13:60
- Elisabetta Di Nitto, Ilias Gerostathopoulos, Kirstie L. Bellman:
Introduction to ACSOS 2022 Special Issue. 14:1-14:3 - Andreas Metzger, Jan Laufer, Felix Feit, Klaus Pohl:
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems. 15:1-15:44 - Olufogorehan Tunde-Onadele, Yuhang Lin, Xiaohui Gu, Jingzhu He, Hugo Latapie:
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection. 16:1-16:28 - Michael Austin Langford, Sol Zilberman, Betty H. C. Cheng:
Anunnaki: A Modular Framework for Developing Trusted Artificial Intelligence. 17:1-17:34 - Maria Casimiro, Diogo Soares, David Garlan, Luís Rodrigues, Paolo Romano:
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework. 18:1-18:30
- Fateneh Golpayegani, Nanxi Chen, Nima Afraz, Eric Gyamfi, Abdollah Malekjafarian, Dominik Schäfer, Christian Krupitzer:
Adaptation in Edge Computing: A Review on Design Principles and Research Challenges. 19:1-19:43
Volume 19, Number 4, December 2024
- Ziming Wang, Changwu Huang, Xin Yao:
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How? 20:1-20:40
- Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker:
A Framework for Simultaneous Task Allocation and Planning under Uncertainty. 21:1-21:30 - Ratnadeep Bhattacharya, Yuan Gao, Timothy Wood:
Dynamically Balancing Load with Overload Control for Microservices. 22:1-22:23 - Andrew Fuchs, Andrea Passarella, Marco Conti:
Optimizing Delegation in Collaborative Human-AI Hybrid Teams. 23:1-23:33 - Irman Faqrizal, Gwen Salaün, Yliès Falcone:
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement. 24:1-24:31 - Michael Brand, Anand Narayan, Sebastian Lehnhoff:
Applying Trust for Operational States of ICT-Enabled Power Grid Services. 25:1-25:22
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