机构

• 数学与系统科学研究院 [4]
• 地理科学与资源研究所 [3]
• 自动化研究所 [3]
• 海洋研究所 [1]
• 重庆绿色智能技术研究... [1]
• 西安光学精密机械研究... [1]
• 更多

采集方式

• OAI收割 [13]

内容类型

• 期刊论文 [13]

发表日期

• 2024 [2]
• 2022 [1]
• 2021 [2]
• 2020 [6]
• 2017 [1]

学科主题

筛选

浏览/检索结果: 共13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 Interpretable multi-step hybrid deep learning model for karst spring discharge prediction: Integrating temporal fusion transformers with ensemble empirical mode decomposition 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 645, 页码: 11 作者:  Zhou, Renjie;  Wang, Quanrong;  Jin, Aohan;  Shi, Wenguang;  Liu, Shiqi   |  收藏  |  浏览/下载：15/0  |  提交时间：2025/02/06 Temporal Fusion Transformers (TFT)  Transformers  Ensemble Empirical Mode Decomposition  (EEMD)  Deep learning  Rainfall-runoff relationship  Karst Hydrology   Difference-Focusing Fusion Decision Method: An Ensemble Learning Framework and Its Application in Improving Deep Learning Sea-Land Segmentation for Waterline Extraction in Synthetic Aperture Radar Imagery 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 14 作者:  Zheng, Gang   |  收藏  |  浏览/下载：55/0  |  提交时间：2024/12/20 Image resolution  Image segmentation  Radar polarimetry  Training  Oceanography  Oceans  Synthetic aperture radar  Deep learning  ensemble learning  framework  segmentation  synthetic aperture radar (SAR)  waterline   A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach 期刊论文  OAI收割 JOURNAL OF FORECASTING, 2022, 页码: 22 作者:  Li, Zhongfei;  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/02/07 AdaBoost-ensemble  deep learning  hybrid data preprocessing-analysis strategy  LSTM   Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文  OAI收割 APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15 作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/04/29 PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning   Tourism demand forecasting: An ensemble deep learning approach 期刊论文  OAI收割 TOURISM ECONOMICS, 2021, 页码: 29 作者:  Sun, Shaolong;  Li, Yanzhao;  Guo, Ju-e;  Wang, Shouyang   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/10/26 bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting   A new ensemble deep learning approach for exchange rates forecasting and trading 期刊论文  OAI收割 ADVANCED ENGINEERING INFORMATICS, 2020, 卷号: 46, 页码: 10 作者:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/04/26 Ensemble learning  Forecasting  Trading  Deep learning  LSTM   A multi-view attention-based deep learning system for online deviant content detection 期刊论文  OAI收割 WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2020, 页码: 24 作者:  Liang, Yunji;  Guo, Bin;  Yu, Zhiwen;  Zheng, Xiaolong;  Wang, Zhu   |  收藏  |  浏览/下载：34/0  |  提交时间：2021/01/07 Deviant content  Deep learning  Ensemble learning  View attention  Social media   Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 18, 页码: 21 作者:  Wang, Chengyi;  Li, Lianfa   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/03/16 multiple scales  residual deep ensemble learning  regularizer  shape representation  semantic segmentation of buildings   Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 18, 页码: 21 作者:  Wang, Chengyi;  Li, Lianfa   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/03/16 multiple scales  residual deep ensemble learning  regularizer  shape representation  semantic segmentation of buildings   Inferring Skin Lesion Segmentation With Fully Connected CRFs Based on Multiple Deep Convolutional Neural Networks 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 144246-144258 作者:  Qiu, Yuming;  Cai, Jingyong;  Qin, Xiaolin;  Zhang, Ju   |  收藏  |  浏览/下载：20/0  |  提交时间：2020/10/12 Lesions  Image segmentation  Skin  Measurement  Predictive models  Training  Task analysis  Deep convolutional neural networks  ensemble learning  fully connected CRFs  pigmented skin lesion segmentation