机构

• 自动化研究所 [140]

采集方式

• OAI收割 [140]

内容类型

• 期刊论文 [58]
• 学位论文 [53]
• 会议论文 [29]

发表日期

• 2023 [9]
• 2022 [7]
• 2021 [6]
• 2020 [4]
• 2019 [5]
• 2018 [5]
• 更多

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浏览/检索结果: 共140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 New Paradigm for Economic and Financial Research With Generative AI: Impact and Perspective 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 11 作者:  Zheng, Xiaolong;  Li, Jingyu;  Lu, Mengyao;  Wang, Fei-Yue   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/02/22 Economics  Biological system modeling  Data models  Task analysis  Behavioral sciences  Big Data  Analytical models  finance  generative artificial intelligence (GAI)  reinforcement learning from human feedback (RLHF)  research paradigm   CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2133-2148 作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/02/20 Feature extraction  Task analysis  Remote sensing  Transformers  Deep learning  Semantics  Support vector machines  Category context learning (CCL)  clustering learning (CL)  difference map refinement (DMR)  optical remote sensing image  change detection (CD)   Dynamic adaptive multi-objective optimization algorithm based on type detection 期刊论文  OAI收割 INFORMATION SCIENCES, 2024, 卷号: 654, 页码: 16 作者:  Cai, Xingjuan;  Wu, Linjie;  Zhao, Tianhao;  Wu, Di;  Zhang, Wensheng   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/02/22 Adaptive response strategy  Type detection  Dynamic multi-objective optimization  Transfer learning   Forged facial video detection framework based on multi-region temporal relationship feature 期刊论文  OAI收割 AIP ADVANCES, 2023, 卷号: 13, 期号: 8, 页码: 8 作者:  Fang, Xing;  Hao, YanNi;  Luo, Yin;  Xu, Nan;  Cao, Jia   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/11/17 Robotic Automatic Drilling for Craniotomy: Algorithms and In Vitro Animal Experiments 期刊论文  OAI收割 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12 作者:  Bian, Gui-Bin;  Wei, Bing-Ting;  Li, Zhen;  Ge, Peicong;  Chen, Zhang   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/11/17 Drilling  Robots  Force  Robot sensing systems  Skull  Feeds  Service robots  Autonomous drilling  craniotomy robot  feed velocity and force constraint control  in vitro experiment  skull-dura boundary detection   DCAT: Dual Cross-Attention-Based Transformer for Change Detection 期刊论文  OAI收割 Remote Sensing, 2023, 卷号: 15, 期号: 9, 页码: 2395 作者:  Yuan Zhou;  Chunlei Huo;  Jiahang Zhu;  Leigang Huo;  Chunhong Pan   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/06/16 change detection  transformer  dual cross-attention  remote sensing   Change detection and update of 3D sparse map by merging geometry and appearance 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 卷号: 119, 页码: 9 作者:  Ma, Wenjuan;  Song, Zhuo;  He, Ying;  Shen, Shuhan   |  收藏  |  浏览/下载：4/0  |  提交时间：2023/11/16 Change detection  3D map update  3D sparse map   Effects of working memory span training on top-down attentional asymmetry at both neural and behavioral levels 期刊论文  OAI收割 CEREBRAL CORTEX, 2023, 页码: 10 作者:  Li, Yang;  Chen, Xiongying;  Zhang, Qiumei;  Xu, Wending;  Li, Jin   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/02/22 working memory span  RCT  EEG  alpha lateralization  attention   Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1668-1691 作者:  Xinya Wang;  Qian Hu;  Yingsong Cheng;  Jiayi Ma   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/07/20 Deep learning  hyperspectral image  image fusion  image super-resolution  survey   Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369 作者:  Rui Jiang   |  收藏  |  浏览/下载：4/0  |  提交时间：2023/05/29 Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding