机构

• 自动化研究所 [13]
• 地理科学与资源研究所 [4]
• 西安光学精密机械研究... [2]
• 深圳先进技术研究院 [1]
• 地质与地球物理研究所 [1]
• 广州地球化学研究所 [1]
• 更多

采集方式

• OAI收割 [24]

内容类型

• 期刊论文 [19]
• 会议论文 [4]
• 预印本 [1]

发表日期

• 2026 [2]
• 2024 [5]
• 2023 [4]
• 2022 [2]
• 2021 [2]
• 2020 [4]
• 更多

学科主题

筛选

浏览/检索结果: 共24条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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作者升序作者降序 Predicting distribution characteristics of PM2.5 concentrations across China combining land use regression model and spatiotemporally weighted stacking machine learning algorithms 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2026, 卷号: 14, 期号: 2, 页码: 121780 作者:  Wang, Wentao;  Zhang, Ping;  Han, Yuanyuan;  Zhang, Fengqian;  Huang, Yue   |  收藏  |  浏览/下载：12/0  |  提交时间：2026/03/16 PM 2.5 pollution  Land use regression model  Machine learning ensemble method  Space-time weighting information  Spatiotemporal modelling   Quantitative identification and hazard assessment of potentially unstable rock masses along mountainous transportation corridors 期刊论文  OAI收割 ENGINEERING FAILURE ANALYSIS, 2026, 卷号: 183, 页码: 110273 作者:  Liu, Changqing;  Bao, Han;  Zhang, Jingfeng;  Yang, Jinghao;  Dong, Xuanyan   |  收藏  |  浏览/下载：4/0  |  提交时间：2026/02/09 Rock mass engineering  Rocky slope  Potentially unstable rock mass  Point cloud identification  Kinematic analysis  Rockfall hazard  Comprehensive protection   Semi-Supervised Graph Structure Learning via Dual Reinforcement of Label and Prior Structure 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14 作者:     |  收藏  |  浏览/下载：36/0  |  提交时间：2024/09/09 Contrastive learning  graph neural network (GNN)  graph structure learning (GSL)  graph neural network (GNN)  graph structure learning (GSL)   The Impact of Factor Price Change on China's Cotton Production Pattern Evolution: Mediation and Spillover Effects 期刊论文  OAI收割 AGRICULTURE-BASEL, 2024, 卷号: 14, 期号: 7, 页码: 1145 作者:  Zhang, Xuewei;  Zhou, Xiqing;  Liu, Haimeng;  Zhang, Jinghao;  Zhang, Jingde   |  收藏  |  浏览/下载：50/0  |  提交时间：2024/09/19 factor price change  mechanical substitution difficulty  cotton production pattern  spatial spillover effect   FPM-WSI: Fourier ptychographic whole slide imaging via feature-domain backdiffraction 期刊论文  OAI收割 Optica, 2024, 卷号: 11, 期号: 5, 页码: 634-646 作者:  Zhang, Shuhe;  Wang, Aiye;  Xu, Jinghao;  Feng, Tianci;  Zhou, Jinhua   |  收藏  |  浏览/下载：56/0  |  提交时间：2024/09/04 FPM-WSI: Fourier ptychographic whole slide imaging via feature-domain backdiffraction 预印本  OAI收割 2024 作者:  Zhang, Shuhe;  Wang, Aiye;  Xu, Jinghao;  Feng, Tianci;  Zhou, Jinhua   |  收藏  |  浏览/下载：60/0  |  提交时间：2024/05/22 A cross-modal clinical prediction system for intensive care unit patient outcome 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 16 作者:  Sun, Mengxuan;  Yang, Xuebing;  Niu, Jinghao;  Gu, Yifan;  Wang, Chutong   |  收藏  |  浏览/下载：53/0  |  提交时间：2024/02/21 Electronic health records  Clinical outcome prediction  Patient representation  Cross-modal contrastive learning   A Study on the Effects of Digital Finance on Green Low-Carbon Circular Development Based on Machine Learning Models 期刊论文  OAI收割 MATHEMATICS, 2023, 卷号: 11, 期号: 18, 页码: 3903 作者:  Zhang, Xuewei;  Ai, Xiaoqing;  Wang, Xiaoxiang;  Zong, Gang;  Zhang, Jinghao   |  收藏  |  浏览/下载：37/0  |  提交时间：2024/01/04 DF  GLCD  machine learning  double-carbon target   CEHMR: Curriculum learning enhanced hierarchical multi-label classification for medication recommendation 期刊论文  OAI收割 ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023, 卷号: 143, 页码: 13 作者:  Sun, Mengxuan;  Niu, Jinghao;  Yang, Xuebing;  Gu, Yifan;  Zhang, Wensheng   |  收藏  |  浏览/下载：48/0  |  提交时间：2023/11/16 Medication recommendation  EHR  Hierarchical multi-label classification  Curriculum learning   Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文  OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167 作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu   |  收藏  |  浏览/下载：51/0  |  提交时间：2023/11/17 Multimedia recommendation  graph structure learning  contrastive learning