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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [178]
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A wave-shaped CNN for marine-raft aquaculture-area extraction in SAR images
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2025, 卷号: 232, 页码: 110078
作者:
Guo, Yanjun
;
Du, Yunyan
;
Yan, Ming
;
Xie, Ting
;
Liu, Moyun
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2025/04/21
Remote sensing
Synthetic aperture radar (SAR) images
Marine-floating-raft aquaculture
Deep learning
Convolutional neural network (CNN)
Vision-based underwater target real time detection for autonomous underwater vehicle subsea exploration
期刊论文
OAI收割
Frontiers in Marine Science, 2025, 卷号: 10, 期号: 1, 页码: 1-12
作者:
Xu GF(徐高飞)
;
Zhou DX(周道先)
;
Yuan LB(袁立标)
;
Guo W(郭威)
;
Huang ZP(黄泽鹏)
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/12/16
autonomous underwater vehicle
subsea exploration
real time target detection
light weight convolutional neural network
underwater image enhancement
A Novel Hybrid-DCNN-Based Framework for Enhanced Rice Aboveground Biomass Estimation Under Limited Samples
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4405716
作者:
Liu, Yibo
;
Pei, Jie
;
Zou, Yaopeng
;
Tan, Shaofeng
;
He, Yinan
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2025/04/21
Data models
Crops
Autonomous aerial vehicles
Estimation
Training
Biomass
Predictive models
Fertilizers
Deep learning
Biological system modeling
Aboveground biomass (AGB)
deep convolutional neural network (DCNN)
multisource uncrewed aerial vehicle (UAV) data
PROSAIL-PRO
rice
A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 23, 页码: 19
作者:
Li, Wenqi
;
Zhang, Chendi
;
Puhl, David
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2025/03/03
Convolutional Neural Network (CNN)
channel width
bankfull width
automatic extraction
boundary delineation
Using convolutional neural network combined with multi-scale channel attention module to predict soil properties from visible and near-infrared spectral data
期刊论文
OAI收割
MICROCHEMICAL JOURNAL, 2024, 卷号: 207
作者:
Tang, Ke
;
Zhao, Xing
;
Qin, Min
;
Xu, Zong
;
Sun, Huojiao
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/11/20
Soil properties
Infrared spectroscopy
Convolutional neural network
Channel attention
A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning
期刊论文
OAI收割
COMPUTERS & ELECTRICAL ENGINEERING, 2024, 卷号: 120, 页码: 17
作者:
He, Junxian
;
Tian, Min
;
Jiang, Ying
;
Wang, Haibing
;
Wang, Tengxiao
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/12/06
Neuromorphic
Convolutional neuronal network
Spiking neural network
HMAX
STDP
On-chip learning
The convolutional neural network for Pacific decadal oscillation forecast
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 12, 页码: 11
作者:
Skanupong, Nutta
;
Xu, Yongsheng
;
Yu, Lejiang
;
Wan, Zhang
;
Wang, Shuo
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/12/20
convolutional neural network (CNN)
machine learning (ML)
pacific decadal oscillation (PDO)
sea surface temperature (SST)
Acquisition of acoustic emission precursor information for rock masses with a single joint based on clustering-convolutional neural network method
期刊论文
OAI收割
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2024, 卷号: 16, 期号: 12, 页码: 5061-5076
作者:
Xie, Peiyao
;
Chen, Weizhong
;
Zhao, Wusheng
;
Gao, Hou
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/06/27
Acoustic Emission (AE)
Precursor information acquisition
Precursory indicator
Clustering-Convolutional Neural Network (CNN) method
Rock mass failure
Single joint
Optimizing seismic-based reservoir property prediction: a synthetic data-driven approach using convolutional neural networks and transfer learning with real data integration
期刊论文
OAI收割
ARTIFICIAL INTELLIGENCE REVIEW, 2024, 卷号: 58, 期号: 1, 页码: 27
作者:
Ali, Muhammad
;
He, Changxingyue
;
Wei, Ning
;
Jiang, Ren
;
Zhu, Peimin
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/06/27
Optimizing reservoir property
Convolutional neural network
Transfer learning
Synthetic seismic gathers
Pseudo wells
Rock physics model
miCGR: interpretable deep neural network for predicting both site-level and gene-level functional targets of microRNA
期刊论文
OAI收割
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 26, 期号: 1, 页码: 13
作者:
Wu, Xiaolong
;
Zhang, Lehan
;
Tong, Xiaochu
;
Wang, Yitian
;
Zhang, Zimei
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/12/25
MicroRNA
target prediction
chaos game representation
deep learning
convolutional neural network