×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
深圳先进技术研究院 [8]
自动化研究所 [4]
武汉大学 [4]
北京航空航天大学 [3]
大连理工大学 [2]
山东大学 [2]
更多...
内容类型
会议论文 [33]
发表日期
2020 [1]
2019 [5]
2018 [5]
2017 [4]
2016 [5]
2015 [2]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共33条,第1-10条
帮助
限定条件
内容类型:会议论文
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
BCPL: Convolutional Prototype Learning for Brain Networks for Depression Diagnosis
会议论文
Online, 2020/06/23
作者:
Zhi DM(支冬梅)
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/06/28
Principle component analysis and random forest based all-fiber activity monitoring
会议论文
No. 1736 Tianfu Avenue North, Chengdu, China, 2019-11-02
作者:
Han, Shuying
;
Xu, Wei
;
You, Shanhong
;
Dong, Bo
;
Yu, Changyuan
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/03/11
A Deployment Model of Charging Pile Based on Random Forest for Shared Electric Vehicle in Smart Cities
会议论文
14th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2018, Shenyang, China, 2018-12-06
作者:
Xu, Tiantian
;
Sun, Huazhi
;
Han, Guangjie
;
Ma, Chunmei
;
Jiang, Lifen
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2019/12/02
Charging (batteries)
Decision trees
Electric automobiles
Mobile ad hoc networks
Sensor networks
Smart city, Battery capacity
Deployment models
Electric vehicle charging
Low-carbon emissions
Prediction model
Random forest algorithm
Random forests
Users' experiences, Piles
Improvement of random forest cascade regression algorithm and its application in fatigue detection
会议论文
作者:
Qunzhu, Tao
;
Rui, Zhang
;
Yufei, Yan
;
Chengyao, Zhang
;
Zhijun, Li
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/05
Intelligent Large-Scale AP Control with Remarkable Energy Saving in Campus WiFi System
会议论文
Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS, 2018-12-11
作者:
Fang, L.
;
Xue, G.
;
Lyu, F.
;
Sheng, H.
;
Zou, F.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Decision trees
Energy conservation
Energy utilization
Control schemes
Empirical studies
Full WiFi coverage
Load predictions
Power savings
Random forest algorithm
Trace driven simulation
User associations
Wireless local area networks (WLAN)
Wind-turbine Blade Inspection Using Impact-Sounding Module and Acoustic Analysis
会议论文
Suzhou, China, July 29 - August 2, 2019
作者:
Yang L(杨亮)
;
Chang Y(常勇)
;
Sotnikov, Stanislav
;
Feng, Jinglun
;
Li, Bingbing
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/05/24
Prediction of days in hospital for children using random forest
会议论文
作者:
Wang, Chenguang
;
Dong, Xueling
;
Yu, Limin
;
Ye, Lishan
;
Zhuang, Weifen
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/26
Bagging method
Days in hospitals
Hospital information systems
Personal information
Predictive accuracy
Random forest algorithm
Random forest methods
Random forests
Image Classification Based on Improved Random Forest Algorithm
会议论文
2018 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA), 2018-01-01
作者:
Man, Weishi
;
Ji, Yuanyuan
;
Zhang, Zhiyu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/20
image classification
random forest
node splitting
spatial pyramid model
.Net library for SMS spam detection using machine learning: A cross platform solution
会议论文
Proceedings of 2018 15th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2018, 2018-01-09
作者:
Ali, S.S.
;
Maqsood, J.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Algorithms
Artificial intelligence
Classification (of information)
Decision trees
Electronic mail
Error detection
Learning systems
Samarium
Text messaging
clustering
Electronic world
On-line detection
Pre-processing
Random forest algorithm
Short message services
Spam detection
SPAM filter
Clustering algorithms
An improved supervised learning defect prediction model based on cat swarm algorithm
会议论文
Journal of Physics: Conference Series, 2018-08-10
作者:
Wang, X.
;
Yan, H.
;
Li, J.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Benchmarking
Data mining
Decision trees
Defects
Forecasting
Learning systems
Quality assurance
Software testing
Swarm intelligence
Defect prediction models
Feature selection methods
High-dimensional problems
Integrated learning
Performance improvements
Random forest methods
Software defect prediction
Swarm intelligence algorithms
Learning algorithms
©版权所有 ©2017 CSpace - Powered by
CSpace