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• OAI收割 [167]

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浏览/检索结果: 共167条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Chip design with machine learning: a survey from algorithm perspective 期刊论文  OAI收割 SCIENCE CHINA-INFORMATION SCIENCES, 2023, 卷号: 66, 期号: 11, 页码: 31 作者:  He, Wenkai;  Li, Xiaqing;  Song, Xinkai;  Hao, Yifan;  Zhang, Rui   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/04 chip design  machine learning  chip design automation  design result estimation  design optimization and correction  design construction   Robust Multitask Learning With Sample Gradient Similarity 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10 作者:  Peng, Xinyu;  Chang, Cheng;  Wang, Fei-Yue;  Li, Li   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/12/21 Deep learning  Automation  multitask learning  sample gradient  sample reweighting  task reweighting   Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 17 作者:  Wang, Fei-Yue;  Lin, Yilun;  Ioannou, Petros A.;  Vlacic, Ljubo;  Liu, Xiaoming   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/11/16 Intelligent transportation systems  cyber-physical-social systems  parallel intelligence  knowledge automation  DAOs  transportation 5.0   VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 9, 页码: 4198-4207 作者:  Tian, Yonglin;  Li, Xuan;  Zhang, Hui;  Zhao, Chen;  Li, Bai   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/21 Transformers  Task analysis  Autonomous vehicles  Planning  Biological system modeling  Navigation  Automation  Generative parallel transformers  end-to-end driving  transport automation  large-language models  federation of vehicular transformers  scenario engineering   A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 卷号: 53, 期号: 4, 页码: 2148-2159 作者:  Li, Xuan;  Tian, Yonglin;  Ye, Peijun;  Duan, Haibin;  Wang, Fei-Yue   |  收藏  |  浏览/下载：2/0  |  提交时间：2023/11/17 Foundation models  knowledge automation  management  metaverse  parallel intelligence  scenarios engineering (SE)   Gain-loss separability in human- but not computer-based changes of mind 期刊论文  OAI收割 Computers in Human Behavior, 2023 作者:  Yongling Lin;  Pengfei Xu;  Jiayu Fan;  Ruolei Gu;  Yue-jia Luo   |  收藏  |  浏览/下载：33/0  |  提交时间：2023/03/07 Human-automation interaction  Automation bias  Risk decision-making  Gain-loss asymmetry  Event-related potential  P3   Identifying Key Factors Influencing Regional Fishing Footprints in Coastal Waters 期刊论文  OAI收割 SSRN, 2023 作者:  Chen, Renli;  Wang, Yueqi;  Wu, Xiaoqing;  Gao, Zhiqiang   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/01/26 Automation  Environmental management  Environmental technology  Information management  Oceanography  Remote sensing  Surface temperature  Surface waters  Sustainable development   A Pathway Forward: The Evolution of Intelligent Vehicles Research on IEEE T-IV 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 4, 页码: 918-928 作者:  Wang, Haoran;  Wang, Xiao;  Li, Xuan;  Wu, Xingtang;  Hu, Jia   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/03/20 Bibliographics  Intelligent vehicles  Productivity  Market research  Autonomous vehicles  Collaboration  Pattern analysis  Bibliographic analysis  collaboration pattern  intelligent vehicles (IV)  cooperative automation (CA)   Discrete soft actor-critic with auto-encoder on vascular robotic system 期刊论文  OAI收割 ROBOTICA, 2022, 页码: 12 作者:     |  收藏  |  浏览/下载：30/0  |  提交时间：2023/01/09 surgical robots  vascular robotic system  automation  reinforcement learning  deep neural network   The effect of automation trust tendency, system reliability and feedback on users' phishing detection 期刊论文  OAI收割 APPLIED ERGONOMICS, 2022, 卷号: 102, 页码: 8 作者:  Zhou, Ying;  Cui, Xinyue;  Qu, Weina;  Ge, Yan   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/11/08 Phishing detection  Automation trust  System reliability  Feedback