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面向自动驾驶的感知预测一体化方法研究
学位论文
2024
作者:
刘雅慧
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/05/27
Autonomous Driving
Integrated Perception and Prediction
Point Cloud Classification
Trajectory Prediction
Scene Motion Prediction
Temporal Double Graph Convolutional Network for CO and CO
2
Prediction in Blast Furnace Gas
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:
Zhang, Tingkun
;
Liu, Chengbao
;
Liu, Zhenjie
;
Tan, Jie
;
Ahmat, Mutellip
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/03/26
Blast furnace gas (BFG)
CO and CO2 content
graph convolutional network (GCN)
hypergraph convolutional network
prediction
Machine learning versus crop growth models: an ally, not a rival
期刊论文
AOB PLANTS, 2023, 卷号: 15, 期号: 2, 页码: 7
作者:
Zhang, Ningyi
;
Zhou, Xiaohan
;
Kang, Mengzhen
;
Hu, Bao-Gang
;
Heuvelink, Ep
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/11/17
Knowledge
and data-driven modelling
Machine learning
Process-based models
yield prediction
Real-Time Digital Video Stabilization of Bioinspired Robotic Fish Using Estimation-and-Prediction Framework
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 页码: 12
作者:
Meng, Yan
;
Wu, Zhengxing
;
Zhang, Pengfei
;
Wang, Jian
;
Yu, Junzhi
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/06/06
Robots
Cameras
Robot vision systems
Streaming media
Bio-inspired robotics
Real-time systems
Estimation
Bioinspired robot
digital video stabilization
estimation-and-prediction framework
robotic fish
vision system
Research on condition monitoring and fault diagnosis of intelligent copper ball production lines based on big data
期刊论文
IET Collaborative Intelligent Manufacturing, 2022, 卷号: 4, 期号: 1, 页码: 45-57
作者:
Zhang, Zhongke
;
Li, Zhao
;
Zhao, Changzhong
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/04/21
Big data
Display devices
Failure analysis
Fault detection
Light emission
Metadata
Program debugging
Trees (mathematics)
Virtual private networks
Cloud platforms
Condition monitoring and faults diagnosis
Electronics materials
Fault prediction
Faults diagnosis
Manufacturing industries
On condition monitoring
Production line
Window control center configuration
Windows control centers
Development of a new ratcheting fatigue life prediction model of a nickel-based superalloy based on ratcheting strain rate
期刊论文
MATERIALS LETTERS, 2022, 卷号: 308, 页码: 4
作者:
Kong, Weiwen
;
Nian, Taojie
;
Yuan, Chao
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2021/12/09
Metals and alloys
Fatigue
Ratcheting strain rate
Fatigue life prediction model
Toward the Rational Design of Mid-Infrared Nonlinear Optical Materials with Targeted Properties via a Multi-Level Data-Driven Approach
期刊论文
ADVANCED FUNCTIONAL MATERIALS, 2022, 卷号: 32, 期号: 23, 页码: 1-9
作者:
Cai, WB (Cai, Wenbing) [1]
;
Abudurusuli, A (Abudurusuli, Ailijiang) [1] , [2]
;
Xie, CW (Xie, Congwei) [1]
;
Tikhonov, E (Tikhonov, Evgenii) [1]
;
Li, JJ (Li, Junjie) [1] , [2]
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/06/21
crystal structure prediction
high-throughput computation and screening
machine learning
nonlinear optical material
second harmonic generation response
Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model
期刊论文
IEEE Geoscience and Remote Sensing Letters, 2022, 卷号: 19, 页码: 1-5
作者:
Zuo XY(左心怡)
;
Zhou XF(周晓锋)
;
Guo DQ(郭大权)
;
Li S(李帅)
;
Liu SR(刘舒锐)
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/08/28
Convolution
Dual characteristics
Ocean temperature
ocean temperature prediction
Predictive models
Robots
Sea surface
Solid modeling
stereo spatial and temporal 4-D convolution model (SST-4D-CNN).
Temperature distribution
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230
作者:
Li, Lianfa
;
Fang, Ying
;
Wu, Jun
;
Wang, Jinfeng
;
Ge, Yong
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2021/11/05
Bias
deep learning
encoder-decoder
full residual deep network
non-linear regression
prediction of satellite aerosol optical depth (AOD) and PM2.5
spatiotemporal modeling
An evaluation model for landslide and debris flow prediction using multiple hydrometeorological variables
期刊论文
ENVIRONMENTAL EARTH SCIENCES, 2021, 卷号: 80, 期号: 16, 页码: 18
作者:
Hou, Jinjin
;
Dou, Ming
;
Zhang, Yongyong
;
Wang, Jihua
;
Li, Guiqiu
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/11/05
SWAT model
Multiple hydrometeorological variables
Trigger sensitivities
Landslide and debris flow
Prediction model
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