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ACM Transactions on Autonomous and Adaptive Systems

ACM SCIE 非OA

2026新锐 4区2025中科院 4区2025 JCR Q2

查看审稿周期计算与数据来源报告数据问题

415.3平均天数

358中位天数

193最短天数

996最长天数

562025发文量

Paper Review Records

全部论文审稿周期

11 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期；保留 PDF/DOI/网页源链接

484 天

A Requirement-Based Framework for Engineering Adaptive Authentication

收稿 2025-02-09 录用 2026-06-08 发表 2026-07-10

作者Alzubair Hassan; Alkabashi Alnour; Bashar Nuseibeh; Liliana Pasquale

作者单位1. University College Dublin and Lero, Ireland; 2. City St George’s, University of London, UK

PDF源文件 DOI 网页

515 天

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems

收稿 2024-12-21 录用 2026-05-20 发表 2026-07-03

作者Zhirong Huang; Debo Cheng; Jiuyong Li; Lin Liu; Guixian Zhang; Shichao Zhang

作者单位1. School of Computer Science and Engineering; Guangxi Key Lab of MSMI; MOE Key Lab of EBIT, Guangxi Normal University, China; 2. School of Computer Science and Technology, Hainan University, China; 3. UniSA STEM, University of South Australia, Australia; 4. School of Computer Science and Technology/School of Artificial Intelligence, China University of Mining and Technology, China

PDF源文件 DOI 网页

302 天

Backdoor Watermarking for Continuous Prompt Learning Models in Industrial Systems

收稿 2025-07-27 录用 2026-05-25 发表 2026-06-20

作者Kongyang Chen; Chuwen Pang; Xiaolin Wang; Tiancai Liang; Jiaxing Shen

作者单位1. Guangzhou University, China and Pazhou Lab, China; 2. Guangzhou University, China; 3. Lingnan University, China

PDF源文件 DOI 网页

340 天

STDiff: Anomaly Detection over Multivariate Time Series in Autonomous Systems for Industry 5.0 via Spatio-Temporal Learning and Diffusion Generation

收稿 2025-06-18 录用 2026-05-24 发表 2026-06-19

作者Yihai Chen; KaiSi Wang; XuanZheng Ma; Yueshen Xu; Honghao Gao

作者单位1. School of Computer Engineering and Science, Shanghai University, China; 2. School of Computer Science and Technology, Xidian University, China

PDF源文件 DOI 网页

996 天

SARS: Selected Appropriate Representation for Sub-tasks in Human-Object Interaction Detection

收稿 2023-09-07 录用 2026-05-30 发表 2026-06-12

作者Hong-Bo Zhang; Wei-Mo Deng; Wang-Kai Lin; Zong-Wen Fan; Qing Lei; Ji-Xiang Du

作者单位1. School of Computer Science and Technology, Huaqiao University, China; 2. College of Computer and Data Science, Fuzhou University, China; 3. Fujian Key Laboratory of Big Data Intelligence and Security, Huaqiao University, China; 4. Xiamen Key Laboratory of Computer Vision and Pattern Recognition, Huaqiao University, China

PDF源文件 DOI 网页

269 天

Combating Knowledge Diversity and Catastrophic Forgetting in UAV-Assisted Collaborative Vehicular Learning: A Game-Theoretic Approach

收稿 2025-09-02 录用 2026-05-29 发表 2026-06-11

作者Zihao Ding; Jun Huang; Yanxiao Zhao; Zhipeng Cai

作者单位1. South Dakota State University, USA; 2. Virginia Commonwealth University, USA; 3. Georgia State University, USA

PDF源文件 DOI 网页

193 天

Efficient Self-Adaptation through Explanation-Driven White-Box Optimization

收稿 2024-11-09 录用 2025-05-21 发表 2026-06-10

作者Francesco Renato Negri; Niccolò Nicolosi; Matteo Camilli; Raffaela Mirandola

作者单位1. Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy; 2. Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

PDF源文件 DOI 网页

219 天

Semantic Fusion: Verifiable Alignment in Decentralized Multi-Agent Systems

收稿 2025-06-30 录用 2026-02-04 发表 2026-06-10

作者Sofiya C Zaichyk

作者单位1. Innovative Defense Technologies, Arlington, VA, USA

PDF源文件 DOI 网页

358 天

RS-DRL: Managing Uncertainty in Self-Adaptive Systems Based on a Novel Continuous Deep Reinforcement Learning Method

收稿 2024-11-17 录用 2025-11-10 发表 2026-06-10

作者Alireza Kavianifar; Saeed Jalili

作者单位1. Computer Engineering Department, Tarbiat Modares University, Tehran, Iran

PDF源文件 DOI 网页

392 天

Controlled Self-Recovery of the Aggregator in Federated Learning Using RAFT Protocol

收稿 2024-11-08 录用 2025-12-05 发表 2026-06-10

作者Rustem Dautov; Erik Johannes Husom

作者单位1. SINTEF Digital, Oslo, Norway

PDF源文件 DOI 网页

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拟题建议: 《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》
数据库初筛: Environmental Technology & Innovation

样本口径2026 年最近 5 篇有效论文样本

平均审稿96.4 天

中位数77 天

ACM Transactions on Autonomous and Adaptive Systems

全部论文审稿周期

A Requirement-Based Framework for Engineering Adaptive Authentication

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems

Backdoor Watermarking for Continuous Prompt Learning Models in Industrial Systems

STDiff: Anomaly Detection over Multivariate Time Series in Autonomous Systems for Industry 5.0 via Spatio-Temporal Learning and Diffusion Generation

SARS: Selected Appropriate Representation for Sub-tasks in Human-Object Interaction Detection

Combating Knowledge Diversity and Catastrophic Forgetting in UAV-Assisted Collaborative Vehicular Learning: A Game-Theoretic Approach

Efficient Self-Adaptation through Explanation-Driven White-Box Optimization

Semantic Fusion: Verifiable Alignment in Decentralized Multi-Agent Systems

RS-DRL: Managing Uncertainty in Self-Adaptive Systems Based on a Novel Continuous Deep Reinforcement Learning Method

Controlled Self-Recovery of the Aggregator in Federated Learning Using RAFT Protocol

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ACM Transactions on Autonomous and Adaptive Systems

全部论文审稿周期

A Requirement-Based Framework for Engineering Adaptive Authentication

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems

Backdoor Watermarking for Continuous Prompt Learning Models in Industrial Systems

STDiff: Anomaly Detection over Multivariate Time Series in Autonomous Systems for Industry 5.0 via Spatio-Temporal Learning and Diffusion Generation

SARS: Selected Appropriate Representation for Sub-tasks in Human-Object Interaction Detection

Combating Knowledge Diversity and Catastrophic Forgetting in UAV-Assisted Collaborative Vehicular Learning: A Game-Theoretic Approach

Efficient Self-Adaptation through Explanation-Driven White-Box Optimization

Semantic Fusion: Verifiable Alignment in Decentralized Multi-Agent Systems

RS-DRL: Managing Uncertainty in Self-Adaptive Systems Based on a Novel Continuous Deep Reinforcement Learning Method

Controlled Self-Recovery of the Aggregator in Federated Learning Using RAFT Protocol

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