机构

• 地理科学与资源研究所 [5]
• 自动化研究所 [4]
• 计算技术研究所 [2]
• 合肥物质科学研究院 [2]
• 地质与地球物理研究所 [1]
• 光电技术研究所 [1]
• 更多

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [16]

发表日期

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

学科主题

筛选

浏览/检索结果: 共16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 Runoff Forecast Model Integrating Time Series Decomposition and Deep Learning for the Short Term: A Case Study in the Weihe River Basin, China 期刊论文  OAI收割 WATER, 2025, 卷号: 17, 期号: 18, 页码: 2718 作者:  Ma, Ruijia;  An, Qiang;  Liu, Liu;  Cheng, Yongming;  Liu, Xingcai   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/11/17 runoff forecasting  Convolutional Long Short-Term Memory  Seasonal-Trend decomposition using Loess  Variational Mode Decomposition  segmented decomposition sampling  multi-input neural network   A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network 期刊论文  OAI收割 PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2024, 卷号: 9, 期号: 6, 页码: 1-18 作者:  Yi, Zhenxiao;  Wang, Shi;  Li, Zhaoting;  Wang, Licheng;  Wang, Kai   |  收藏  |  浏览/下载：46/0  |  提交时间：2024/12/06 Accuracy  Recurrent neural networks  Computational modeling  Time series analysis  Predictive models  Supercapacitors  Feature extraction  Prediction algorithms  Convolutional neural networks  Long short term memory  state of health  re-maining useful life  honey badger algorithm  recurrent dropout   A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models 期刊论文  OAI收割 WATER, 2024, 卷号: 16, 期号: 19, 页码: 20 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng;  Qiao, Shuaisen;  Zhu, Jingshu   |  收藏  |  浏览/下载：34/0  |  提交时间：2024/12/30 artificial intelligence  neural network  gate recurrent unit  long short-term memory  convolutional neural network  average atmospheric temperature  precipitation   An Improved Method for Retrieving Subsurface Temperature Using the ConvLSTM Model in the Western Pacific Ocean 期刊论文  OAI收割 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 卷号: 12, 期号: 4, 页码: 13 作者:  Zhang, Yuyuan;  Liu, Yahao;  Kong, Yuan;  Hu, Po   |  收藏  |  浏览/下载：26/0  |  提交时间：2024/08/29 deep learning  iterative optimization  remote sensing data  convolutional long short-term memory (ConvLSTM)  marine temperature  Western Pacific   Comprehensive Relation Modelling for Image Paragraph Generation 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 369-382 作者:  Xianglu Zhu;  Zhang Zhang;  Wei Wang;  Zilei Wang   |  收藏  |  浏览/下载：26/0  |  提交时间：2024/04/23 Image paragraph generation, visual relationship, scene graph, graph convolutional network (GCN), long short-term memory   Real-time continuous detection and recognition of dynamic hand gestures in untrimmed sequences based on end-to-end architecture with 3D DenseNet and LSTM 期刊论文  OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 页码: 38 作者:  Lu, Zhi;  Qin, Shiyin;  Lv, Pin;  Sun, Liguo;  Tang, Bo   |  收藏  |  浏览/下载：62/0  |  提交时间：2023/11/17 Continuous detection  Gesture recognition  Long short-term memory  3D densely connected convolutional networks  Connectionist temporal classification  Canonical correlation analysis   A deep learning approach for signal identification in the fluid injection process during hydraulic fracturing using distributed acoustic sensing data 期刊论文  OAI收割 FRONTIERS IN EARTH SCIENCE, 2022, 卷号: 10, 页码: 9 作者:  Zheng, Yikang;  Wang, Yibo;  Liang, Xing;  Xue, Qingfeng;  Liang, Enmao   |  收藏  |  浏览/下载：62/0  |  提交时间：2023/04/03 distributed acoustic sensing  deep learning  signal identification  convolutional neural networks  bidirectional long short-term memory   A CNN-LSTM Model for Soil Organic Carbon Content Prediction with Long Time Series of MODIS-Based Phenological Variables 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 18, 页码: 18 作者:  Zhang, Lei;  Cai, Yanyan;  Huang, Haili;  Li, Anqi;  Yang, Lin   |  收藏  |  浏览/下载：70/0  |  提交时间：2022/11/09 soil organic carbon  land surface phenology  deep learning  predictive mapping  convolutional neural network (CNN)  long short-term memory (LSTM)   Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 3, 页码: 14 作者:  Mi, Chunlei;  Cheng, Shifen;  Lu, Feng   |  收藏  |  浏览/下载：54/0  |  提交时间：2022/09/21 taxi-calling demands prediction  residual attention graph convolutional long short-term memory networks  deep learning  pattern dependence   Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 3, 页码: 14 作者:  Mi, Chunlei;  Cheng, Shifen;  Lu, Feng   |  收藏  |  浏览/下载：57/0  |  提交时间：2022/09/21 taxi-calling demands prediction  residual attention graph convolutional long short-term memory networks  deep learning  pattern dependence