OOIR: Observatory of International Research

Papers

(The median citation count of ACM Transactions on Autonomous and Adaptive Systems is 0. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)

Article	Citations
Adaptive Preferences: Pivoting Through User Complaints	29
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes	18
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks	14
Loosening Control—A Hybrid Approach to Controlling Heterogeneous Swarms	13
Deceiving LLM through Compositional Instruction with Hidden Attacks	11
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles	8
Assured Mission Adaptation of UAVs	8
Modeling, Replicating, and Predicting Human Behavior: A Survey	7
Self-Adaptive Testing in the Field	6
Piecewise Weighting Function for Collaborative Filtering Recommendation	6
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?	6
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management	6
A Framework for Simultaneous Task Allocation and Planning under Uncertainty	5
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment	5
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering	4
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems	4
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation	4
Context-Aware Proactive Self-Adaptation: A Two-layer Model Predictive Control Approach	4
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society	3
Introduction to ACSOS 2022 Special Issue	3
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction	3
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources	3
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications	2
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments	2
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV	2

Prosocial Norm Emergence in Multi-agent Systems	2
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement	2
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems	2
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task offloading in Connected Autonomous Vehicles	2
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments	1
The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving	1
Joint Optimization of Task Offloading Content Caching and Resource Allocation in Vehicular Edge Computing	1
Predicting Nonfunctional Requirement Violations in Autonomous Systems	1
MonoFG: Monocular 3D Object Detection with Knowledge Distillation for Human-Centric Autonomous Driving Systems	1
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models	1
SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving	1
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection	1
Calibration-Free Feedforward Temperature Compensation for Wireless Clock Synchronisation	1
Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles	1
HAMLET: A Hierarchical Agent-based Machine Learning Platform	0
On Understanding Context Modelling for Adaptive Authentication Systems	0
An Evaluation of Self-Adaptive Mechanisms for Misconfigurations in Small Uncrewed Aerial Systems	0
IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase	0
Anunnaki: A Modular Framework for Developing Trusted Artificial Intelligence	0
Dynamic Evaluation of Microservice Granularity Adaptation	0
An Autonomous System for Efficient Control of PTZ Cameras	0
A Consortium Blockchain-Based Edge Task Offloading Method for Connected Autonomous Vehicles	0
A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems	0
Foreword: SEAMS 2022 Special Issue	0
Evaluate Inference Attacks: Attack and Defense against 2D Semantic Segmentation Models	0
Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime	0
ACORN+: Adaptive Compression-Reconstruction for Device-Cloud Collaboration Video Services	0
Foreword: ACSOS 2021 Special Issue	0
Optimizing Delegation in Collaborative Human-AI Hybrid Teams	0
Dynamically Balancing Load with Overload Control for Microservices	0
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems	0
Risk-aware Collection Strategies for Multirobot Foraging in Hazardous Environments	0
Adaptation in Edge Computing: A Review on Design Principles and Research Challenges	0
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework	0
Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks	0
Improving Causal Learning Scalability and Performance using Aggregates and Interventions	0
Introduction to the SEAMS 2023 Special Issue	0
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks	0
Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis	0
Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap	0
Web 3.0-Enabled Microservice Re-Scheduling for Heterogenous Resources Co-Optimization in Metaverse-Integrated Edge Networks	0
Applying Trust for Operational States of ICT-Enabled Power Grid Services	0
Satellite Edge Computing for Mobile Multimedia Communications: A Multi-agent Federated Reinforcement Learning Approach	0
Vehicle Dynamics and Interaction for Trajectory Prediction and Traffic Control	0
Using Randomization in Self-organized Synchronization for Wireless Networks	0
Many-Objective Self-adaptation under Model Uncertainty	0
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds	0
Modeling and Analysis of Explanation for Secure Industrial Control Systems	0
Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms	0
NEPTUNE : A Comprehensive Framework for Managing Serverless Functions at the Edge	0

Efficient Model Verification at Runtime through Adaptive Dynamic Approximation	0
Systematic Scalability Modeling of QoS-aware Dynamic Service Composition	0
An Extended Study of the Performance of Flexible Controllers Composed of Micro-controllers	0
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems Using Lifelong Self-Adaptation	0
GSFL: A Privacy-preserving Grouping-Split Federated Learning Approach in Resource-constrained Edge Computing Scenarios	0
OptimML: Joint Control of Inference Latency and Server Power Consumption for ML Performance Optimization	0
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements	0
Self-Adaptation in Industry: A Survey	0
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters	0
Distributed Size-constrained Clustering Algorithm for Modular Robot-based Programmable Matter	0
Self-Governing Hybrid Societies and Deception	0
GLDAP: Global Dynamic Action Persistence Adaptation for Deep Reinforcement Learning	0
EdgeMart : A Sustainable Networked OTT Economy on the Wireless Edge for Saving Multimedia IP Bandwidth	0
Self-aware Optimization of Adaptation Planning Strategies	0
FASDSA: A Flexible Adaptive and Secure Data Sharing Architecture	0
Credible Negotiation for Multi-agent Reinforcement Learning in Long-term Coordination	0
An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems	0
FedGPL: Gradient Priority-based Federated Learning Enhancement for In-Vehicle Language Models	0