机构

• 自动化研究所 [103]

采集方式

• OAI收割 [103]

内容类型

• 期刊论文 [61]
• 学位论文 [41]
• 项目 [1]

发表日期

• 2024 [6]
• 2023 [16]
• 2022 [14]
• 2021 [7]
• 2020 [5]
• 2019 [6]
• 更多

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浏览/检索结果: 共103条，第1-10条 帮助 限定条件 专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     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 Deep convolutional neural network based on self-distillation for tool wear recognition 期刊论文  OAI收割 ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12 作者:  Pan, Yi;  Hao, Ling;  He, Jianliang;  Ding, Kun;  Yu, Qiang   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/03/27 Tool fault diagnosis  Mobile inspection robots  Self-distillation  Industry 4.0  Deep learning   Toward Generalizable Robotic Dual-Arm Flipping Manipulation 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 卷号: 71, 期号: 5, 页码: 4954-4962 作者:  Huang, Haifeng;  Zeng, Chao;  Cheng, Long;  Yang, Chenguang   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/02/20 Dynamic movement primitive (DMP)  flipping task  learning from demonstration (LfD)  skill generalization   A Hybrid Controller for Musculoskeletal Robots Targeting Lifting Tasks in Industrial Metaverse 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 12 作者:  Qin, Shijie;  Li, Houcheng;  Cheng, Long   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/03/27 Adaptive dynamic programming (ADP)  brain-inspired method  muscle synergy  musculoskeletal system  reinforcement learning (RL)  tracking control   TCM Model for improving track sequence classification in real scenarios with Multi-Feature Fusion and Transformer Block 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 13 作者:  Xiang, Ti;  Lv, Pin;  Sun, Liguo;  Yang, Yipu;  Hao, Jiuwu   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/02/22 Track classification  Multi-feature fusion  Marine radar  Transformer   Valuing equity-linked guaranteed minimum death benefits with European-style Asian payoffs under a regime switching jump-diffusion model 期刊论文  OAI收割 COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2024, 卷号: 128, 页码: 19 作者:  Wang, Yayun   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/12/21 Regime-switching Levy model  Complex Fourier series method  European-style Asian option payoffs  GMDB   Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189 作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/10 Artificial society  computational experiments  model integration  operation engine  technology integration   Sequence-to-sequence transfer transformer network for automatic flight plan generation 期刊论文  OAI收割 IET INTELLIGENT TRANSPORT SYSTEMS, 2023, 页码: 12 作者:  Yang, Yang;  Qian, Shengsheng;  Zhang, Minghua;  Cai, Kaiquan   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/02/22 air transportation  artificial intelligence  data mining   On Intelligent Mining With Parallel Intelligence 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4296-4300 作者:  Yang, Jianjian;  Huang, Qiankun;  Ge, Shirong;  Wang, Xiao;  Chen, Long   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/02/22 Data mining  Artificial intelligence  Task analysis  Industries  Production  Biology  Collaboration  Green mining  Industry 5.0  intelligent mining using parallel intelligence  Mining 5.0  mining MAPeM model   Decoupled Real-Time Trajectory Planning for Multiple Autonomous Mining Trucks in Unloading Areas 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4319-4330 作者:  Yang, Qingyuan;  Ai, Yunfeng;  Teng, Siyu;  Gao, Yu;  Cui, Chenglin   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/02/22 Mining industry  autonomous automobiles  intelligent vehicles   Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting 期刊论文  OAI收割 DIGITAL COMMUNICATIONS AND NETWORKS, 2023, 卷号: 9, 期号: 5, 页码: 1221-1229 作者:  Zhang, Weishan;  Chen, Xiao;  He, Ke;  Chen, Leiming;  Xu, Liang   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/02/22 Photovoltaic power forecasting  Federated learning  Edge computing  CNN-LSTM