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西安交通大学 [2]
北京航空航天大学 [2]
地理科学与资源研究所 [2]
山东大学 [2]
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期刊论文 [16]
发表日期
2018 [16]
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Environmen... [1]
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发表日期:2018
内容类型:期刊论文
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Random Forests-Based Hybrid Feature Selection Algorithm for Soil Potassium Content Inversion Using Hyperspectral Technology
期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 卷号: 38, 期号: 12, 页码: 3883-3889
作者:
Wang Xuan-hui
;
Zheng Xi-lai
;
Han Zhong-zhi
;
Wang Xuan-li
;
Wang Juan
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/08/19
Soil available potassium content
Hyperspectral
Characteristic wavelength selection
Hybrid feature selection
Random forests
Spatiotemporal patterns of PM10 concentrations over China during 2005-2016: A satellite-based estimation using the random forests approach
期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 242, 页码: 605-613
作者:
Chen, Gongbo
;
Wang, Yichao
;
Li, Shanshan
;
Cao, Wei
;
Ren, Hongyan
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2019/05/23
PM10
AOD
Random forests
China
Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation
期刊论文
FRONTIERS IN NEUROINFORMATICS, 2018, 卷号: 12, 页码: 11
作者:
Zheng, Qiang
;
Wu, Yihong
;
Fan, Yong
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2019/12/16
multi-atlas
image segmentation
hippocampus
random forests
label propagation
A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 636, 页码: 52-60
作者:
Chen, Gongbo
;
Li, Shanshan
;
Knibbs, Luke D.
;
Hamm, N. A. S.
;
Cao, Wei
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2019/05/23
PM2.5
Aerosol optical depth
Random forests
Machine learning
China
Fast detection of fenthion on fruit and vegetable peel using dynamic surface-enhanced Raman spectroscopy and random forests with variable selection
期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2018, 卷号: 200, 期号: 无, 页码: 20-25
作者:
Weng, Shizhuang
;
Qiu, Mengqing
;
Dong, Ronglu
;
Wang, Fang
;
Huang, Linsheng
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2019/08/23
Dynamic surface-enhanced Raman spectroscopy
Fenthion
Random forests
Fruit and vegetable peel
Fast detection
A novel random forests based class incremental learning method for activity recognition
期刊论文
PATTERN RECOGNITION, 2018, 卷号: 78, 页码: 277-290
作者:
Hu, Chunyu
;
Chen, Yiqiang
;
Hu, Lisha
;
Peng, Xiaohui
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/10
Class incremental learning
Activity recognition
Random forests
Banzhaf random forests: Cooperative game theory based random forests with consistency
期刊论文
NEURAL NETWORKS, 2018, 卷号: 106, 页码: 20-29
作者:
Sun, Jianyuan
;
Zhong, Guoqiang
;
Huang, Kaizhu
;
Dong, Junyu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/19
Banzhaf power index
Consistency
Random forests
Cooperative game
Use of random forests regression for predicting IRI of asphalt pavements
期刊论文
CONSTRUCTION AND BUILDING MATERIALS, 2018, 卷号: 189, 页码: 890-897
作者:
Gong, Hongren
;
Sun, Yiren
;
Shu, Xiang
;
Huang, Baoshan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Roughness
Pavement
Decision tree
Random forests
Machine learning
Management
LTPP
Regression tree
Ride quality
An Improved Randomized Local Binary Features for Keypoints Recognition
期刊论文
SENSORS, 2018, 卷号: 18
作者:
Zhang, Jinming
;
Feng, Zuren
;
Zhang, Jinpeng
;
Li, Gang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
binary feature
keypoints recognition
ORB
random ferns
random forests
SIFT
Fast detection of fenthion on fruit and vegetable peel using dynamic surface-enhanced Raman spectroscopy and random forests with variable selection
期刊论文
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2018, 卷号: Vol.200, 页码: 20-25
作者:
Mengqing Qiu
;
Fang Wang
;
Jinling Zhao
;
Shizhuang Weng
;
Dongyan Zhang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/04/22
Dynamic
surface-enhanced
Raman
spectroscopy
Fenthion
Random
forests
Fruit
and
vegetable
peel
Fast
detection
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