ACM Transactions on Autonomous and Adaptive Systems

Papers
(The median citation count of ACM Transactions on Autonomous and Adaptive Systems is 2. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes76
HAG-MTF: Higher-Order Adaptive Generative Graph for Massive Traffic Forecasting in Industry 5.071
Automate Legibility through Inverse Reinforcement Learning56
Adaptive Preferences: Pivoting Through User Complaints40
Synchronized Trajectory Prediction for Hybrid Multi-agent via Attention-Denoised Endpoint Distribution31
Human-Autonomous System Interaction Graphical Notation (HASIGN): How Do We Design for Human-Multi-AGV Interaction in Manufacturing Intralogistics?31
Introduction to the Special Issue on Artificial Intelligence for Adaptive and Autonomous Cloud/Edge Computing Systems28
MemIndex: Agentic Event-based Distributed Memory Management for Multi-agent Systems22
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks21
Deceiving LLM through Compositional Instruction with Hidden Attacks19
Blockchain-Based Efficient Cross-Domain Access Control System for Autonomous Vehicle Data Sharing18
Modeling, Replicating, and Predicting Human Behavior: A Survey16
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?14
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles14
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management13
Who’s Who? LLM-assisted Software Traceability with Architecture Entity Recognition13
A Framework for Simultaneous Task Allocation and Planning under Uncertainty12
Batch Transaction Processing for Adaptive Sharding Blockchain-Enabled Edge Computing11
Model Checking of Workflow Nets with Tables and Constraints11
Piecewise Weighting Function for Collaborative Filtering Recommendation9
Autonomic Resource Harvesting in HPC: Control Methods and Their Reusability9
Self-Adaptive Testing in the Field9
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment8
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems8
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering8
Introduction to ACSOS 2022 Special Issue7
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources7
Context-Aware Proactive Self-Adaptation: A Two-Layer Model Predictive Control Approach7
LLM-based UAV Path Planning for Autonomous and Adaptive Industry Systems7
Introduction to the SEAMS 2024 Special Issue7
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation7
STDiff: Anomaly Detection over Multivariate Time Series in Autonomous Systems for Industry 5.0 via Spatio-Temporal Learning and Diffusion Generation7
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society6
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments6
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction6
Fine-grained Tracing for Performance Anomaly Diagnosis of Serverless Functions6
RS-DRL: Managing Uncertainty in Self-Adaptive Systems Based on a Novel Continuous Deep Reinforcement Learning Method5
Efficient Resource Allocation for DRL-NOMA Enabled TSIN in Industry 5.05
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles5
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement4
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications4
Regularization-Enhanced Federated Class-Incremental Learning with Generative Replay for Smart Edge4
AdapCP: Collaborative Inference with Adaptive CNN Partition on Distributed Edge Servers4
SARS: Selected Appropriate Representation for Sub-tasks in Human-Object Interaction Detection4
Introduction to the Special Issue on Advances in Mobile Multimedia Communications over Edge-based Autonomous Systems: Challenges and Emerging Applications4
A Requirement-Based Framework for Engineering Adaptive Authentication4
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV4
Calibration-Free Feedforward Temperature Compensation for Wireless Clock Synchronisation4
Adaptive Scheduling of Multimodal Large Language Model in Intelligent Edge Computing4
E 2 P : An Energy Efficient Protocol for Human-Centric UAV-Based Autonomous Systems4
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments4
Factorization-based Attribute Residual Summary for Adaptive Edge-based Autonomous System Security4
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection3
Bandit Neural Architecture Search for Digital Twin Optimisation: A Scientific Machine Learning Approach3
MonoFG: Monocular 3D Object Detection with Knowledge Distillation for Human-Centric Autonomous Driving Systems3
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models3
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments3
Activity Recognition Empowered Autonomic Systems with Generative Artificial Intelligence3
The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving3
Joint Optimization of Task Offloading Content Caching and Resource Allocation in Vehicular Edge Computing3
Introduction to the Special Issue on Trustworthy Security and Privacy-AI Powered Autonomous Driving2
NEPTUNE : A Comprehensive Framework for Managing Serverless Functions at the Edge2
Federated Meta-Learning for Autonomous System in VEC-Enabled ICVs2
Self-Adaptation in Industry: A Survey2
Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis2
Corrigendum: LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles2
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements2
IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase2
Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation2
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems2
SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving2
Tabular Reinforcement Learning Methods for Artificial Intelligence Tasks Offloading in Smart Eye-Wears2
Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles2
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework2
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters2
Efficient Self-Adaptation through Explanation-Driven White-Box Optimization2
Introduction to the Special Issue on Intelligent Applications of Web 3.0 and Metaverse for Connected Autonomous Vehicles2
A BDI Task-oriented Agent in Belief Space2
Predicting Nonfunctional Requirement Violations in Autonomous Systems2
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems2
INSYTE: A Classification Framework for Traditional to Agentic AI Systems2
An Extended Study of the Performance of Flexible Controllers Composed of Micro-controllers2
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