机构

• 上海技术物理研究所 [11]
• 自动化研究所 [7]
• 海洋研究所 [3]
• 地理科学与资源研究所 [2]
• 新疆生态与地理研究所 [2]
• 昆明植物研究所 [2]
• 更多

采集方式

• OAI收割 [37]
• iSwitch采集 [2]

内容类型

• 期刊论文 [35]
• 会议论文 [4]

发表日期

• 2025 [1]
• 2024 [4]
• 2023 [1]
• 2022 [5]
• 2021 [3]
• 2020 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共39条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 OpenClinicalAI: An open and dynamic model for Alzheimer's Disease diagnosis 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2025, 卷号: 261, 页码: 17 作者:  Huang, Yunyou;  Liang, Xiaoshuang;  Xie, Jiyue;  Lu, Xiangjiang;  Miao, Xiuxia   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/12/06 Real-world clinical setting  Alzheimer's disease  Diagnose  AI  Deep learning   Factors influencing the progressive adoption of integrated rice-fish systems by farmers and its relapse 期刊论文  OAI收割 AGRICULTURAL SYSTEMS, 2024, 卷号: 221, 页码: 104142 作者:  Bai, Yunxiao;  Chen, Cheng;  Li, Xiaoshuang;  Liu, Moucheng   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/11/19 Farmer behavior change  Rice-fish system  Integrated farming  Best management practices  Food security   Proteome-wide Mendelian randomization identified potential drug targets for migraine 期刊论文  OAI收割 JOURNAL OF HEADACHE AND PAIN, 2024, 卷号: 25, 期号: 1, 页码: 14 作者:  Xiong, Zhonghua;  Zhao, Lei;  Mei, Yanliang;  Qiu, Dong;  Li, Xiaoshuang   |  收藏  |  浏览/下载：21/0  |  提交时间：2024/10/14 Drug targets  Migraine  Mendelian randomization  Proteomics   Enhanced nitrogen removal performance of nitrogen-rich saline wastewater by marine anammox bacteria: Based on different influent loading strengths 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 卷号: 354, 页码: 10 作者:  Lai, Xiaoshuang;  Li, Xuegang;  Song, Jinming;  Yuan, Huamao;  Duan, Liqin   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/06/04 Nitrogen -rich saline wastewater  Marine anammox bacteria  Sequential batch reactor  Nitrogen removal  Nitrogen loading strength   Preserving traditional systems: Identification of agricultural heritage areas based on agro-biodiversity 期刊论文  OAI收割 PLANTS PEOPLE PLANET, 2024 作者:  Bai, Yunxiao;  Li, Xiaoshuang;  Feng, Yuqing;  Liu, Moucheng;  Chen, Cheng   |  收藏  |  浏览/下载：36/0  |  提交时间：2024/02/05 agricultural heritage systems  agro-biodiversity  identification of potential distribution areas  Maxent  traditional agriculture systems   Nitrogen loss from the coastal shelf of the East China Sea: Implications of the organic matter br 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 854, 页码: 10 作者:  Lai, Xiaoshuang;  Li, Xuegang;  Song, Jinming;  Yuan, Huamao;  Duan, Liqin   |  收藏  |  浏览/下载：55/0  |  提交时间：2023/01/04 Nitrogen loss  Organic matter  Denitrification  Anammox  Ladderanes  Functional genes   Citrinin Derivatives From Penicillium Citrinum Y34 That Inhibit alpha-Glucosidase and ATP-Citrate Lyase 期刊论文  OAI收割 FRONTIERS IN MARINE SCIENCE, 2022, 卷号: 9, 页码: 11 作者:  Chen, Shanji;  Tian, Danmei;  Wei, Jihua;  Li, Cong;  Ma, Yihan   |  收藏  |  浏览/下载：56/0  |  提交时间：2022/08/30 Penicillium citrinum Y34  citrinin dimer  alpha-Glucosidase inhibitory activity  ACL inhibitory activity  molecular docking   Biogeochemical characteristics and microbial response to indicate degradation of organic matter around Pair-summit Seamounts in the Tropical Western Pacific Ocean 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2022, 卷号: 136, 页码: 9 作者:  Lai, Xiaoshuang;  Li, Xuegang;  Song, Jinming;  Ma, Jun;  Yuan, Huamao   |  收藏  |  浏览/下载：64/0  |  提交时间：2022/04/12 Seamount morphology  Organic matter  Distribution and degradation  Nutrients  Microorganisms   Supervised assisted deep reinforcement learning for emergency voltage control of power systems 期刊论文  OAI收割 NEUROCOMPUTING, 2022, 卷号: 475, 页码: 69-79 作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Dai, Yuxin;  Yu, Zhihong   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/06/06 Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Emergency control   SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning 期刊论文  OAI收割 NEUROCOMPUTING, 2022, 卷号: 467, 页码: 300-309 作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Jin, Junchen;  Huang, Yanhao   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/12/28 Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Double DQN