ACM Transactions on Autonomous and Adaptive Systems

Papers
(The TQCC of ACM Transactions on Autonomous and Adaptive Systems is 4. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes65
Adaptive Preferences: Pivoting Through User Complaints56
HAG-MTF: Higher-Order Adaptive Generative Graph for Massive Traffic Forecasting in Industry 5.052
Automate Legibility through Inverse Reinforcement Learning34
Synchronized Trajectory Prediction for Hybrid Multi-agent via Attention-Denoised Endpoint Distribution29
Human-Autonomous System Interaction Graphical Notation (HASIGN): How Do We Design for Human-Multi-AGV Interaction in Manufacturing Intralogistics?27
MemIndex: Agentic Event-based Distributed Memory Management for Multi-agent Systems23
Introduction to the Special Issue on Artificial Intelligence for Adaptive and Autonomous Cloud/Edge Computing Systems20
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks19
Blockchain-Based Efficient Cross-Domain Access Control System for Autonomous Vehicle Data Sharing13
Who’s Who? LLM-assisted Software Traceability with Architecture Entity Recognition13
Deceiving LLM through Compositional Instruction with Hidden Attacks13
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles13
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management12
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?12
Modeling, Replicating, and Predicting Human Behavior: A Survey12
Model Checking of Workflow Nets with Tables and Constraints11
A Framework for Simultaneous Task Allocation and Planning under Uncertainty10
Batch Transaction Processing for Adaptive Sharding Blockchain-Enabled Edge Computing9
Piecewise Weighting Function for Collaborative Filtering Recommendation9
Self-Adaptive Testing in the Field8
Autonomic Resource Harvesting in HPC: Control Methods and Their Reusability8
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment8
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering7
LLM-based UAV Path Planning for Autonomous and Adaptive Industry Systems7
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation7
Context-Aware Proactive Self-Adaptation: A Two-Layer Model Predictive Control Approach6
Introduction to ACSOS 2022 Special Issue6
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources6
Introduction to the SEAMS 2024 Special Issue.6
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems6
Fine-grained Tracing for Performance Anomaly Diagnosis of Serverless Functions6
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction5
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society5
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments5
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV4
Efficient Resource Allocation for DRL-NOMA Enabled TSIN in Industry 5.04
Prosocial Norm Emergence in Multi-agent Systems4
E 2 P : An Energy Efficient Protocol for Human-Centric UAV-Based Autonomous Systems4
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications4
RS-DRL: Managing Uncertainty in Self-Adaptive Systems Based on a Novel Continuous Deep Reinforcement Learning Method4
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement4
Adaptive Scheduling of Multimodal Large Language Model in Intelligent Edge Computing4
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments4
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles4
Introduction to the Special Issue on Advances in Mobile Multimedia Communications over Edge-based Autonomous Systems: Challenges and Emerging Applications4
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems4
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