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Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [20]
计算技术研究所 [5]
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OAI收割 [44]
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期刊论文 [30]
学位论文 [9]
会议论文 [5]
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A review: Research progress of SERS-based sensors for agricultural applications
期刊论文
OAI收割
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2022, 卷号: 128
作者:
Liu, Chao
;
Xu, Di
;
Dong, Xuan
;
Huang, Qing
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/12/23
Surface-enhanced Raman spectroscopy (SERS)
Sensor
Agriculture
Food
Quality control
Food safety
DHSA: efficient doubly homomorphic secure aggregation for cross-silo federated learning
期刊论文
OAI收割
JOURNAL OF SUPERCOMPUTING, 2022, 页码: 31
作者:
Liu, Zizhen
;
Chen, Si
;
Ye, Jing
;
Fan, Junfeng
;
Li, Huawei
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/12/07
Federated learning
Security
Efficient
Homomorphic
Deep learning empowers the Google Earth Engine for automated water extraction in the Lake Baikal Basin
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 卷号: 112, 页码: 12
作者:
Li, Kai
;
Wang, Juanle
;
Cheng, Wenjing
;
Wang, Yi
;
Zhou, Yezhi
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/09/26
Water extraction
Deep learning
Noise correction
Quality assessment bands
Google Earth Engine
Lake Baikal
Deep learning empowers the Google Earth Engine for automated water extraction in the Lake Baikal Basin
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 卷号: 112, 页码: 12
作者:
Li, Kai
;
Wang, Juanle
;
Cheng, Wenjing
;
Wang, Yi
;
Zhou, Yezhi
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/09/26
Water extraction
Deep learning
Noise correction
Quality assessment bands
Google Earth Engine
Lake Baikal
A transfer weighted extreme learning machine for imbalanced classification
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 1-21
作者:
Guo YN(郭一楠)
;
Jiao BT(焦博韬)
;
Tan, Ying
;
Zhang, Pei
;
Tang FZ(唐凤珍)
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/05/15
class imbalance learning
cost-sensitive learning
domain adaptation
extreme learning machine
transfer learning
Preoperative prediction of lymph node metastasis using deep learning-based features
期刊论文
OAI收割
Visual Computing for Industry, Biomedicine, and Art, 2022, 期号: 5, 页码: 8
作者:
Cattell, Renee,
;
Ying, Jia
;
Lei, Lan,
;
Ding, Jie,
;
Chen, Shenglan,
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/13
Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features
期刊论文
OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17
作者:
Liu, Liu
;
Xie, Chengjun
;
Wang, Rujing
;
Yang, Po
;
Sudirman, Sud
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2021/09/06
Feature extraction
Monitoring
Machine learning
Object detection
Agriculture
Proposals
Image recognition
Convolutional neural network (CNN)
global activated feature pyramid network
local activated region proposal network
pest monitoring
Multi-Frame Feature Aggregation for Real-Time Instrument Segmentation in Endoscopic Video
期刊论文
OAI收割
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 4, 页码: 6773-6780
作者:
Lin, Shan
;
Qin, Fangbo
;
Peng, Haonan
;
Bly, Randall A.
;
Moe, Kris S.
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/11/02
Computer vision for medical robotics
deep learning for visual perception
object detection
segmentation and categorization
Multiset Feature Learning for Highly Imbalanced Data Classification
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 1, 页码: 139-156
作者:
Jing, Xiao-Yuan
;
Zhang, Xinyu
;
Zhu, Xiaoke
;
Wu, Fei
;
You, Xinge
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2021/12/01
Highly imbalanced data classification
multiset feature learning
deep metric learning
generative adversarial network
cost-sensitive factor
weighted uncorrelated constraint
Cadence-Insensitive Soft Exoskeleton Design With Adaptive Gait State Detection and Iterative Force Control
期刊论文
OAI收割
IEEE Transactions on Automation Science and Engineering, 2021, 页码: 1-14
作者:
Tan XW(谈晓伟)
;
Zhang B(张弼)
;
Liu GJ(刘光军)
;
Zhao XG(赵新刚)
;
Zhao YW(赵忆文)
  |  
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2021/04/13
Assistive robotics
exoskeletons, exosuit
force control
gait state
human–robot interaction (HRI)