机构

• 自动化研究所 [6]
• 地理科学与资源研究所 [2]
• 海洋研究所 [2]
• 沈阳自动化研究所 [2]
• 深圳先进技术研究院 [1]
• 地质与地球物理研究所 [1]
• 更多

采集方式

• OAI收割 [17]

内容类型

• 期刊论文 [14]
• 会议论文 [3]

发表日期

• 2024 [1]
• 2023 [2]
• 2022 [4]
• 2021 [3]
• 2020 [1]
• 2019 [4]
• 更多

学科主题

• 工学 [1]

筛选

浏览/检索结果: 共17条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 ICaps-ResLSTM: Improved capsule network and residual LSTM for EEG emotion recognition 期刊论文  OAI收割 BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 卷号: 87, 页码: 9 作者:  Fan, Cunhang;  Xie, Heng;  Tao, Jianhua;  Li, Yongwei;  Pei, Guanxiong   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/11/15 Electroencephalogram  Emotion recognition  Capsule network  Residual Long-Short Term Memory   A pixel-level deep segmentation network for automatic defect detection 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 215, 页码: 11 作者:  Yang, Lei;  Xu, Shuai;  Fan, Junfeng;  Li, En;  Liu, Yanhong   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/02/22 Defect detection  Deep convolutional neural network  U-shape network  ConvLSTM network   Extraction of Multiple Electrical Parameters From IP-Affected Transient Electromagnetic Data Based on LSTM-ResNet 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 14 作者:  Zhang, Shun;  Zhou, Nannan   |  收藏  |  浏览/下载：4/0  |  提交时间：2023/12/29 Conductivity  Electric fields  IP networks  Distortion measurement  Neural networks  Magnetic fields  Data mining  Chargeability  induced polarization (IP)  long short-term memory-residual network (LSTM-ResNet)  sign reversal  transient electromagnetic (TEM) method   sEMG-Upper Limb Interaction Force Estimation Framework Based on Residual Network and Bidirectional Long Short-Term Memory Network 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2022, 卷号: 12 作者:  Lu, Wei;  Gao, Lifu;  Cao, Huibin;  Li, Zebin   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/12/22 electromyography  residual network  bidirectional long short-term memory network  interaction force estimation   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：25/0  |  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：21/0  |  提交时间：2022/09/21 taxi-calling demands prediction  residual attention graph convolutional long short-term memory networks  deep learning  pattern dependence   Time Series Analysis-Based Long-Term Onboard Radiometric Calibration Coefficient Correction and Validation for the HY-1C Satellite Calibration Spectrometer 期刊论文  OAI收割 Remote Sensing, 2022, 卷号: 14, 期号: 19, 页码: 20 作者:  Q. J. Song;  C. F. Ma;  J. Q. Liu;  X. X. Wang;  Y. Huang   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/06/14 Classifying the tracing difficulty of 3D neuron image blocks based on deep learning 期刊论文  OAI收割 Brain Informatics, 2021, 卷号: 8, 期号: 1 作者:  Yang,Bin;  Huang,Jiajin;  Wu,Gaowei;  Yang,Jian   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/12/28 Deep learning  Tracing difficulty classification  Residual neural network  Fully connected neural network  Long short-term memory network   A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文  OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593 作者:  Zhao-Hua Liu   |  收藏  |  浏览/下载：31/0  |  提交时间：2021/07/20 Deep learning  fault diagnosis  fault prognosis  long and short time memory network (LSTM)  rolling bearing  rotating machinery  regularization  remaining useful life prediction (RUL)  recurrent neural network (RNN)   Fault Diagnosis Based on RseNet-LSTM for Industrial Process 会议论文  OAI收割 Chongqing, China, March 12-14, 2021 作者:  Yao, Peifu;  Yang SJ(阳少杰);  Li P(里鹏)   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/05/10 Fault Diagnosis  Residual Network  Long Short-Term Memory  Tennessee Eastman Process