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Hierarchical rhythmic propagation of corticothalamic interactions for consciousness: A computational study
期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169, 页码: 10
作者:
Zhang, Qian
;
Lu, Han
;
Wang, Jihang
;
Yang, Taoyi
;
Bi, Weida
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/02/21
Corticothalamic model
Spiking neural network
Consciousness
General anesthesia
Anteriorization
The ALMA-QUARKS Survey. I. Survey Description and Data Reduction
期刊论文
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2024, 卷号: 24, 期号: 2
作者:
Liu, Xunchuan
;
Liu, Tie
;
Zhu, Lei
;
Garay, Guido
;
Liu, Hong-Li
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/03/29
stars: formation
stars: kinematics and dynamics
ISM: clouds
ISM: molecules
Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2049-2061
作者:
Chen, Junzhou
;
Zhao, Nan
;
Zhang, Ronghui
;
Chen, Long
;
Huang, Kai
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Roads
Transformers
Feature extraction
Diseases
Inspection
Shape
Intelligent vehicles
Refined crack detection
window-based trans-former
semantic segmentation
autonomous road inspection vehicles
Transmission Line Insulator Defect Detection Based on Swin Transformer and Context
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 729-740
作者:
Yu Xi
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  |  
浏览/下载:2/0
  |  
提交时间:2023/09/25
Insulator defect, object detection, Swin transformer, data augmentation, context information
Transmission Line Insulator Defect Detection Based on Swin Transformer and Context
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 729-740
作者:
Yu Xi
;
Ke Zhou
;
Ling-Wen Meng
;
Bo Chen
;
Hao-Min Chen
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  |  
浏览/下载:0/0
  |  
提交时间:2024/04/23
Insulator defect, object detection, Swin transformer, data augmentation, context information
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
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  |  
浏览/下载:20/0
  |  
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
FrequencySpace-Dependent Smoothing Regularized Nonstationary Predictive Filtering
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 9
作者:
Huang, Guangtan
;
Bai, Min
;
Wang, Hang
;
Liu, Xingye
;
Chen, Yangkang
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  |  
浏览/下载:61/0
  |  
提交时间:2022/02/17
Smoothing methods
Transforms
Noise reduction
Mathematical model
Frequency-domain analysis
Predictive models
Inverse problems
Predictive filtering
seismic data
signa processing
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:31/0
  |  
提交时间:2022/06/21
crystal structure prediction
high-throughput computation and screening
machine learning
nonlinear optical material
second harmonic generation response
The solution to the '1/2 vs 3/2' puzzle
期刊论文
EUROPEAN PHYSICAL JOURNAL C, 2022, 卷号: 82, 期号: 11, 页码: 1027
作者:
Wang, Guo-Li
;
Li, Qiang
;
Wang, Tianhong
;
Feng, Tai-Fu
;
Wu, Xing-Gang
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/01/16
SEMILEPTONIC B DECAYS
D-ASTERISK-ASTERISK
MESONS
TAU
PREDICTIONS
TRANSITIONS
CONSTANTS
MODEL
Data-driven floor plan understanding in rural residential buildings via deep recognition
期刊论文
INFORMATION SCIENCES, 2021, 卷号: 567, 页码: 58-74
作者:
Lu, Zhengda
;
Wang, Teng
;
Guo, Jianwei
;
Meng, Weiliang
;
Xiao, Jun
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/08/15
Floor plan understanding
Rural residence
Neural networks
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