ACM Transactions on Autonomous and Adaptive Systems

Papers
(The median citation count of ACM Transactions on Autonomous and Adaptive Systems is 1. 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
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles13
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
Modeling, Replicating, and Predicting Human Behavior: A Survey12
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management12
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?12
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
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
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
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection3
Calibration-Free Feedforward Temperature Compensation for Wireless Clock Synchronisation3
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models3
AdapCP: Collaborative Inference with Adaptive CNN Partition on Distributed Edge Servers3
Factorization-based Attribute Residual Summary for Adaptive Edge-based Autonomous System Security3
The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving3
MonoFG: Monocular 3D Object Detection with Knowledge Distillation for Human-Centric Autonomous Driving Systems2
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments2
Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis2
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements2
SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving2
Joint Optimization of Task Offloading Content Caching and Resource Allocation in Vehicular Edge Computing2
Bandit Neural Architecture Search for Digital Twin Optimisation: A Scientific Machine Learning Approach2
Predicting Nonfunctional Requirement Violations in Autonomous Systems2
Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation2
Activity Recognition Empowered Autonomic Systems with Generative Artificial Intelligence2
Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles2
INSYTE: A Classification Framework for Traditional to Agentic AI Systems2
Self-Adaptation in Industry: A Survey2
A BDI Task-oriented Agent in Belief Space2
FASDSA: A Flexible Adaptive and Secure Data Sharing Architecture1
QSTMF: Quantum-Secured Trust Management Framework for VANETs in Web 3.0 and Metaverse1
Many-objective Self-adaptation under Model Uncertainty1
Automated Planning for Task-Based Cyber-Physical Systems under Multiple Sources of Uncertainty1
Controlled Self-Recovery of the Aggregator in Federated Learning Using RAFT Protocol1
Chameleon Hash based Collaborative Time-Series Data Integrity Monitoring1
NEPTUNE : A Comprehensive Framework for Managing Serverless Functions at the Edge1
IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase1
Tabular Reinforcement Learning Methods for Artificial Intelligence Tasks Offloading in Smart Eye-Wears1
Federated Meta-Learning for Autonomous System in VEC-Enabled ICVs1
Semantic Fusion: Verifiable Alignment in Decentralized Multi-Agent Systems1
Graph Unlearning System with Subgraph De-Isolation Measures1
EdgeMart : A Sustainable Networked OTT Economy on the Wireless Edge for Saving Multimedia IP Bandwidth1
Introduction to the Special Issue on Control of Computing Systems1
Parley +: Uncertainty Reduction in Self-Adaptive Systems1
Autonomic Computing Rebooted: Taming the Computing Continuum1
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems1
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters1
An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems1
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks1
Vehicle Dynamics and Interaction for Trajectory Prediction and Traffic Control1
ACORN+: Adaptive Compression-Reconstruction for Device-Cloud Collaboration Video Services1
A Resilient Control Strategy for Train-to-Train Communications under Jamming Attacks1
Optimizing Delegation in Collaborative Human-AI Hybrid Teams1
A Unified Framework for Noisy Image Super-Resolution1
Introduction to the Special Issue on Intelligent Applications of Web 3.0 and Metaverse for Connected Autonomous Vehicles1
Efficient Self-Adaptation through Explanation-Driven White-Box Optimization1
An Extended Study of the Performance of Flexible Controllers Composed of Micro-controllers1
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework1
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