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浏览/检索结果: 共985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题名升序题名降序作者升序作者降序发表日期升序发表日期降序 ApproxDup: Developing an Approximate Instruction Duplication Mechanism for Efficient SDC Detection in GPGPUs 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 4, 页码: 1051-1064 作者:  Wei, Xiaohui;  Jiang, Nan;  Yue, Hengshan;  Wang, Xiaonan;  Zhao, Jianpeng   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/05/20 Instruction sets  Reliability  Resilience  Circuit faults  Registers  Kernel  Graphics processing units  Approximate computing  GPGPUs  instruction duplication  silent data corruptions (SDCs)  soft error   Form perception is a cognitive correlate of the relation between subitizing ability and math performance 期刊论文  OAI收割 COGNITIVE PROCESSING, 2024, 页码: 11 作者:  Cui, Zhijun;  Hu, Yuwei;  Wang, Xinnan;  Li, Chen;  Liu, Zhengkui   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/04/01 Subitizing  Form perception  Number sense  Arithmetic computation   Methodology and Modeling of UAV Push-Broom Hyperspectral BRDF Observation Considering Illumination Correction 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 3 作者:  Wang, Zhuo;  Li, Haiwei;  Wang, Shuang;  Song, Liyao;  Chen, Junyu   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/03/15 UAV  push-broom hyperspectral  BRDF model improvement  data coupling  illumination correction factor   Linking ground ice and glacier melting to lake volume change in the Dogai Coring watershed on the Tibetan Plateau 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 629, 页码: 130581 作者:  Zhang, Zhendong;  Li, Xu;  Zhou, Chaodong;  Zhao, Yanhui;  Zhao, Gang   |  收藏  |  浏览/下载：22/0  |  提交时间：2024/02/05 Ground ice melt  Glacier mass loss  Lake water budget  SBAS-InSAR  Dogai Coring  Tibetan Plateau   Aggravation of global maize yield loss risk under various hot and dry scenarios using multiple types of prediction approaches 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2024 作者:  Yin, Xiaomeng;  Leng, Guoyong;  Huang, Shengzhi;  Peng, Jian   |  收藏  |  浏览/下载：22/0  |  提交时间：2024/02/05 dry  hot  machine learning  maize yield loss risk  process-based models  regression   Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths 期刊论文  OAI收割 ATMOSPHERIC CHEMISTRY AND PHYSICS, 2024, 卷号: 24, 期号: 1, 页码: 427-448 作者:  Luo, Jie;  Li, Dan;  Wang, Yuanyuan;  Sun, Dandan;  Hou, Weizhen   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/20 High-precision Time Synchronization Algorithm for Unmanned Aerial Vehicle Ad Hoc Networks based on Bidirectional Pseudo-range Measurements 期刊论文  OAI收割 AD HOC NETWORKS, 2024, 卷号: 152, 页码: 14 作者:  Bai, Kaiyuan;  Wu, Jianfeng;  Wu, Huabing   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/12/13 time synchronization  sub-nanosecond accuracy  wireless ad hoc networks  distributed algorithm  multi-hop dynamic networks  transmission delay elimination   A feasibility study on applying meta-heuristic optimization and Gaussian process regression for predicting the performance of pantograph-catenary system 期刊论文  OAI收割 ACTA MECHANICA SINICA, 2024, 卷号: 40, 期号: 1, 页码: 12 作者:  Zhang MH(张莫晗);  Yin B(银波);  Sun ZX(孙振旭);  Bai, Ye;  Yang GW(杨国伟)   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/02/26 Pantograph-catenary system  Gaussian process regression  Surrogate model  Physical-based model   The dusty and extremely red progenitor of the type II supernova 2023ixf in Messier 101 期刊论文  OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2024, 卷号: 67, 期号: 1 作者:  Xiang, Danfeng;  Mo, Jun;  Wang, Lingzhi;  Wang, Xiaofeng;  Zhang JJ(张居甲)   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/03/29 stellar evolution  mass loss  red supergiants  infrared emission  supernovae   Quantification of Long-Range Dependence in Hydroclimatic Time Series: A Method-Comparison Study 期刊论文  OAI收割 JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2023, 卷号: 62, 期号: 12, 页码: 1921-1942 作者:  Niu, Jingyi;  Xie, Ping;  Sang, Yan-Fang;  Zhang, Liping;  Wu, Linqian   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/01/04 Regression analysis  Statistical techniques  Time series  Stochastic models  Climate variability