机构

• 沈阳自动化研究所 [23]
• 地理科学与资源研究... [12]
• 自动化研究所 [6]
• 生态环境研究中心 [3]
• 青岛生物能源与过程研... [1]

采集方式

• OAI收割 [45]

内容类型

• 期刊论文 [25]
• 会议论文 [15]
• 学位论文 [3]
• SCI/SSCI论文 [2]

发表日期

• 2025 [4]
• 2024 [3]
• 2023 [1]
• 2022 [1]
• 2021 [1]
• 2020 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共45条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Resilience and reconfiguration of global wind power trade networks: Insights from an industrial chain perspective 期刊论文  OAI收割 ENERGY, 2025, 卷号: 341, 页码: 139519 作者:  Wang, Liping;  Chen, Wei   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/21 Wind power  Wind energy  Industrial chain  Trade network  Complex network  Network resilience   Risks and crisis propagation in global palladium trade network: Implications for critical resource supply chain security 期刊论文  OAI收割 JOURNAL OF INDUSTRIAL ECOLOGY, 2025, 卷号: 29, 期号: 4, 页码: 1223-1236 作者:  Yang, Zhicheng;  Song, Zhouying   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/09/22 cascading failure  complex network  industrial ecology  palladium  supply chain security  trade network   Opportunities to mitigate process-related greenhouse gas emissions in global trade networks 期刊论文  OAI收割 SUSTAINABLE PRODUCTION AND CONSUMPTION, 2025, 卷号: 57, 页码: 375-387 作者:  Xu, Simin   |  收藏  |  浏览/下载：27/0  |  提交时间：2025/07/18 Industrial process  Greenhouse gas emission  Complex trade network  Global supply chain   全球稀土供应链时空演化及其脆弱性分析：基于贸易网络视角 期刊论文  OAI收割 中国矿业, 2025, 卷号: N/A, 期号: 0, 页码: 1-14 作者:  宋金禹;  陈伟;  魏冶;  王力平;  赵晞泉   |  收藏  |  浏览/下载：51/0  |  提交时间：2025/07/04 rare earth  trade network  industrial chain  supply risk  simulated attack  network vulnerability   Structure and evolution of global lead trade network: An industrial chain perspective 期刊论文  OAI收割 RESOURCES POLICY, 2024, 卷号: 90, 页码: 104735 作者:  Chen, Wei;  Zhang, Jianing;  Yu, Zhaoyuan;  Zhao, Xiquan   |  收藏  |  浏览/下载：80/0  |  提交时间：2024/04/08 Lead trade  Trade network  Lead industrial chain  Supply chain security  Complex network   Utilizing machine learning algorithm for finely three-dimensional delineation of soil-groundwater contamination in a typical industrial park, North China: Importance of multisource auxiliary data 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 911, 页码: 168598 作者:  Liu, Siyan;  Yang, Xiao;  Shi, Biling;  Liu, Zhaoshu;  Yan, Xiulan   |  收藏  |  浏览/下载：49/0  |  提交时间：2024/01/04 Industrial site contamination  Three-dimensional spatial analysis  Hydrogeological features  Integrated modeling  Back propagation neural network algorithm   A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410 作者:  Dezheng Wang   |  收藏  |  浏览/下载：34/0  |  提交时间：2024/04/23 Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction   Robust Monitor for Industrial IoT Condition Prediction 期刊论文  OAI收割 IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629 作者:  Zhang, Xingwei;  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Dajun   |  收藏  |  浏览/下载：51/0  |  提交时间：2023/11/17 Perturbation methods  Monitoring  Industrial Internet of Things  Training  Predictive models  Robustness  Temperature sensors  Adversarial perturbation  adversarial training  Industrial Internet of Things (IIoT)  machine learning (ML)  temporal convolutional network (TCN)   Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 4, 页码: 686-698 作者:  Zhaolin Yuan, Xiaorui Li, Di Wu, Xiaojuan Ban, Nai-Qi Wu, Hong-Ning Dai, Hao Wang   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/03/09 Industrial 24 paste thickener,ordinary differential equation (ODE)-net,recurrent neural network,time series prediction   Abnormal Traffic Detection of Industrial Edge Network Based on Deep Nature Learning 会议论文  OAI收割 Dublin, Ireland, July 19-23, 2021 作者:  Liu Q(刘琦);  Zhang BW(张博文);  Zhao JM(赵剑明);  Zang CZ(臧传治);  Wang, Xibo   |  收藏  |  浏览/下载：60/0  |  提交时间：2021/08/21 Industrial edge network  Abnormal flow detection  Deep learning  Convolutional Neural Network