机构

• 自动化研究所 [25]
• 地理科学与资源研究... [11]
• 计算技术研究所 [8]
• 重庆绿色智能技术研究... [5]
• 金属研究所 [4]
• 地质与地球物理研究所 [4]
• 更多

采集方式

• OAI收割 [71]

内容类型

• 期刊论文 [71]

发表日期

• 2022 [71]

学科主题

• Forestry [1]

筛选

浏览/检索结果: 共71条，第1-10条 帮助 限定条件 发表日期：2022     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 Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11 作者:  Zeng, Xingjie;  Zhou, Tao;  Bao, Zhicheng;  Zhao, Hongwei;  Chen, Leiming   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/02/22 Federated learning  Data models  Artificial intelligence  Graph neural networks  Training  Learning systems  Servers  graph neural networks  responsible artificial intelligence (AI)  weight divergence  weight similarity evaluation   A deep learning model using convolutional neural networks for caries detection and recognition with endoscopes 期刊论文  OAI收割 ANNALS OF TRANSLATIONAL MEDICINE, 2022, 页码: 11 作者:  Zang, Xiaoyi;  Luo, Chunlong;  Qiao, Bo;  Jin, Nenghao;  Zhao, Yi   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/07/12 Artificial intelligence (AI)  caries lesions  endoscopes  deep learning   VPNets: Volume-preserving neural networks for learning source-free dynamics 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2022, 卷号: 416, 页码: 12 作者:  Zhu, Aiqing;  Zhu, Beibei;  Zhang, Jiawei;  Tang, Yifa;  Liu, Jian   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/02/07 Deep learning  Neural networks  Discovery of dynamics  Source-free dynamics  Volume-preserving   A global gridded municipal water withdrawal estimation method using aggregated data and artificial neural network 期刊论文  OAI收割 WATER SCIENCE AND TECHNOLOGY, 2022, 页码: 24 作者:  Yan, Jiabao;  Jia, Shaofeng   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/01/09 aggregated data  artificial neural network-based indirect model  fine-resolution  global  gridded  municipal water withdrawal   A global gridded municipal water withdrawal estimation method using aggregated data and artificial neural network 期刊论文  OAI收割 WATER SCIENCE AND TECHNOLOGY, 2022, 页码: 24 作者:  Yan, Jiabao;  Jia, Shaofeng   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/01/09 aggregated data  artificial neural network-based indirect model  fine-resolution  global  gridded  municipal water withdrawal   N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning 期刊论文  OAI收割 SCIENTIFIC DATA, 2022, 卷号: 9, 期号: 1, 页码: 9 作者:  Li, Yang;  Dong, Yiting;  Zhao, Dongcheng;  Zeng, Yi   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/03/20 Channel-Aware Decoupling Network for Multiturn Dialog Comprehension 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12 作者:  Zhang, Zhuosheng;  Zhao, Hai;  Liu, Longxiang   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/07/12 Deep neural networks  dialog modeling  natural language generation  open domain conversation system   Rethinking Pretraining as a Bridge From ANNs to SNNs 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14 作者:  Lin, Yihan;  Hu, Yifan;  Ma, Shijie;  Yu, Dongjie;  Li, Guoqi   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/03/20 Training  Task analysis  Neurons  Pipelines  Artificial neural networks  Feature extraction  Transfer learning  Event-driven dataset  neural network (NN) analysis  pretraining technique  spiking NN (SNN)  transfer learning   Lidar-based daytime boundary layer height variation and impact on the regional satellite-based PM2.5 estimate 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 281 作者:  Chen, Sijie;  Tong, Bowen;  Russell, Lynn M.;  Wei, Jing;  Guo, Jianping   |  收藏  |  浏览/下载：43/0  |  提交时间：2022/12/22 MAIAC AOD  Haze layer height  Deep learning  MPL  PM2  5   Application of unlabelled big data and deep semi-supervised learning to significantly improve the logging interpretation accuracy for deep-sea gas hydrate-bearing sediment reservoirs 期刊论文  OAI收割 ENERGY REPORTS, 2022, 卷号: 8, 页码: 2947-2963 作者:  Zhu, Linqi;  Wei, Jiangong;  Wu, Shiguo;  Zhou, Xueqing;  Sun, Jin   |  收藏  |  浏览/下载：9/0  |  提交时间：2022/05/20 Gas hydrate-bearing sediments  Deep learning  Big data application  India national gas hydrate program