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根据【关键词:
deep
】搜索到相关结果
4
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期刊
(4)
按栏目分组
期刊
(4)
按年份分组
2023
(4)
按来源分组
Journal of Cloud Computing
(2)
Remote Sensing
(2)
关键词
Self-Adaptive-Filling
Deep
Convolutional Neural Network Classification Method for Mountain
作者:
Shiou
Li
Xianyun
Fei
Peilong
Chen
Zhen
Wang
Yajun
Gao
Kai
Cheng
Huilong
Wang
Yuanzhi
Zhang
来源:
Remote Sensing
年份:
2023
文献类型 :
期刊
关键词:
based
image
sensing
deep
images
vegetation
learning
type
classification
aerial
remote
mountain
high
Analysis
spatial
object
描述:
require the integration of Object-Based Image Analysis (OBIA) and
Deep
Convolutional Neural Networks
Self-Adaptive-Filling
Deep
Convolutional Neural Network Classification Method for Mountain
作者:
Shiou
Li
Xianyun
Fei
Peilong
Chen
Zhen
Wang
Yajun
Gao
Kai
Cheng
Huilong
Wang
Yuanzhi
Zhang
来源:
Remote Sensing
年份:
2023
文献类型 :
期刊
关键词:
based
image
sensing
deep
images
vegetation
learning
type
classification
aerial
remote
mountain
high
Analysis
spatial
object
描述:
require the integration of Object-Based Image Analysis (OBIA) and
Deep
Convolutional Neural Networks
Hypergraph convolution mix DDPG for multi-aerial base station deployment
作者:
He
Haoran
Zhou
Fanqin
Zhao
Yikun
Li
Wenjing
Feng
Lei
来源:
Journal of Cloud Computing
年份:
2023
文献类型 :
期刊
关键词:
Hypergraph
Agent
deep
efficiency
(AeBS)
learning
decomposition
aerial
(HGCN)
multi
(MADRL)
optimization
station
Value
convolution
reinforcement
base
energy
描述:
deep
reinforcement learning (MADRL). We describe the multi-AeBS deployment challenge as a decentralized
Hypergraph convolution mix DDPG for multi-aerial base station deployment
作者:
He
Haoran
Zhou
Fanqin
Zhao
Yikun
Li
Wenjing
Feng
Lei
来源:
Journal of Cloud Computing
年份:
2023
文献类型 :
期刊
关键词:
Hypergraph
Agent
deep
efficiency
(AeBS)
learning
decomposition
aerial
(HGCN)
multi
(MADRL)
optimization
station
Value
convolution
reinforcement
base
energy
描述:
deep
reinforcement learning (MADRL). We describe the multi-AeBS deployment challenge as a decentralized
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