机构

• 合肥物质科学研究院 [12]

采集方式

• OAI收割 [12]

内容类型

• 期刊论文 [12]

发表日期

• 2022 [2]
• 2021 [2]
• 2020 [3]
• 2019 [2]
• 2018 [1]
• 2017 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共12条，第1-10条 帮助 限定条件 专题：合肥物质科学研究院    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 learning based soybean seed classification 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 卷号: 202 作者:  Huang, Ziliang;  Wang, Rujing;  Cao, Ying;  Zheng, Shijian;  Teng, Yue   |  收藏  |  浏览/下载：39/0  |  提交时间：2022/12/23 Attention mechanism  Image classification  Image segmentation  Lightweight convolutional neural networks  Soybean seed   A new method for safety classification of structures, systems and components by reflecting nuclear reactor operating history into importance measures 期刊论文  OAI收割 NUCLEAR ENGINEERING AND TECHNOLOGY, 2022, 卷号: 54 作者:  Cheng, Jie;  Liu, Jie;  Chen, Shanqi;  Li, Yazhou;  Wang, Jin   |  收藏  |  浏览/下载：36/0  |  提交时间：2022/05/05 Safety classification  Nuclear reactor  Plant operating mode  Plant configuration  Operating history  Importance measure   Reflectance images of effective wavelengths from hyperspectral imaging for identification of Fusarium head blight-infected wheat kernels combined with a residual attention convolution neural network 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 卷号: 190 作者:  Weng, Shizhuang;  Han, Kaixuan;  Chu, Zhaojie;  Zhu, Gongqin;  Liu, Cunchuan   |  收藏  |  浏览/下载：16/0  |  提交时间：2021/11/29 Hyperspectral imaging  Wheat diseases  Variable selection  Feature fusion  Deep learning   Activation and radwaste analysis for ITER soft X-ray camera 期刊论文  OAI收割 FUSION ENGINEERING AND DESIGN, 2021, 卷号: 171 作者:  Huang, Liangsheng;  Niu, Luying;  Chen, Kaiyun;  Zhang, Xiaokang;  Hu, Liqun   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/11/29 Soft X-ray camera  ITER  Activation  Radwaste  Neutronics   A new integrated SSCs safety classification method and a case study on CN HCCB TES 期刊论文  OAI收割 ANNALS OF NUCLEAR ENERGY, 2020, 卷号: 145 作者:  Sun, Ming;  Wang, Jin;  Wang, Fang;  Yu, Jie;  Yin, Yuan   |  收藏  |  浏览/下载：19/0  |  提交时间：2020/10/29 SSCs  Safety classification  Fault tree analysis  Importance  CN HCCB TES   Small-batch-size convolutional neural network based fault diagnosis system for nuclear energy production safety with big-data environment 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 卷号: 44 作者:  Yao, Yuantao;  Wang, Jin;  Long, Pengcheng;  Xie, Min;  Wang, Jianye   |  收藏  |  浏览/下载：57/0  |  提交时间：2020/11/26 convolution layer visualization  convolutional neural network  deep learning  fault diagnosis  nuclear energy production  small-batch-size processing   Clinical Outcomes and Safety of Different Treatment Modes for Local Recurrence of Rectal Cancer 期刊论文  OAI收割 CANCER MANAGEMENT AND RESEARCH, 2020, 卷号: 12 作者:  Tang, Zhongzhu;  Liu, Luying;  Liu, Dong;  Wu, Lie;  Lu, Ke   |  收藏  |  浏览/下载：14/0  |  提交时间：2020/12/28 chemoradiotherapy  chemotherapy  locally recurrent rectal cancer  outcome  surgical treatment   Rapid Detection of Pesticide Residues in Paddy Water Using Surface-Enhanced Raman Spectroscopy 期刊论文  OAI收割 SENSORS, 2019, 卷号: 19, 期号: 3, 页码: 10 作者:  Weng, Shizhuang;  Zhu, Wenxiu;  Dong, Ronglu;  Zheng, Ling;  Wang, Fang   |  收藏  |  浏览/下载：12/0  |  提交时间：2020/08/17 pesticides  SERS  paddy water  rapid detection   Parametric Dependence of Type-I and Type-III ELMs and Dynamic Characteristics for ELM Filaments in EAST Tokamak 期刊论文  OAI收割 IEEE TRANSACTIONS ON PLASMA SCIENCE, 2019, 卷号: 47, 期号: 1, 页码: 799-806 作者:  Chen, Shundong;  Zhong, Fangchuan;  Yang, Qingquan;  Li, Li;  Liang, Yunfeng   |  收藏  |  浏览/下载：76/0  |  提交时间：2020/03/31 Edge safety factor  edge-localized mode (ELMy) filaments  type-I ELMs  type-III ELMs   Determination of Design Extension Conditions List and Design Optimization of Safety Systems for ADS by Lines of Defenses Method 期刊论文  OAI收割 IEEE ACCESS, 2018, 卷号: 6, 期号: 无, 页码: 20789-20795 作者:  Xu, Zhao;  Wang, Lizhi;  Jin, Ming   |  收藏  |  浏览/下载：8/0  |  提交时间：2019/06/04 Accelerator-driven sub-critical system (ADS)  lines of defense (LOD)  design extension condition (DEC)