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A novel four-dimensional prediction model of soil heavy metal pollution: Geographical explanations beyond artificial intelligence "black box"
期刊论文
JOURNAL OF HAZARDOUS MATERIALS, 2023, 卷号: 458
Authors:
Wang, Qi
;
Li, Cangbai
;
Hao, DM(郝冬梅)
;
Xu, Yafei
;
Shi, Xuewen
;
Liu, Tongxu
;
Sun, Weimin
;
Zheng, Zelong
;
Liu, Jianfeng
;
Li, Wanqi
...
Wang, Qi
;
Li, Cangbai
;
Hao, DM(郝冬梅)
;
Xu, Yafei
;
Shi, Xuewen
;
Liu, Tongxu
;
Sun, Weimin
;
Zheng, Zelong
;
Liu, Jianfeng
;
Li, Wanqi
;
Liu, Wengang
;
Zheng, Jiaxue
;
Li, Fangbai
Favorite
  |  
  
Submit date:2023/09/04
Artificial intelligence
Heavy metals
Risk perception
Soil pollution
Soils
'current
Black boxes
Ensemble learning
Geographical explanation
Heavy metals pollution
Prediction modelling
Soil heavy metals
Soil pollutant
Source-sink
TreeSHAP
EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction
期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 122
Authors:
Yuan, YN(袁永娜)
;
Zhang, Yuhao
;
Meng, Xiangbo
;
Liu, Zhenyu
;
Wang, Bohan
;
Miao, Ruidong
;
Zhang, RS(张瑞生)
;
Su, W(苏伟)
;
Liu, Lei
Favorite
  |  
  
Submit date:2023/05/25
Classification (of information)
Decoding
Deep learning
Drug interactions
Heterogeneous networks
Learning systems
Collaborative learning model
Deep learning
Drug-target interactions
Drug–target interaction prediction
End to end
Graph attention network
Heterogeneous information
Interaction prediction
Model-based OPC
Predictive performance
EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction
期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 122
Authors:
Yuan, YN(袁永娜)
;
Zhang, Yuhao
;
Meng, Xiangbo
;
Liu, Zhenyu
;
Wang, Bohan
;
Miao, Ruidong
;
Zhang, RS(张瑞生)
;
Su, W(苏伟)
;
Liu, Lei
Favorite
  |  
  
Submit date:2023/07/18
Classification (of information)
Decoding
Deep learning
Drug interactions
Heterogeneous networks
Learning systems
Collaborative learning model
Deep learning
Drug-target interactions
Drug–target interaction prediction
End to end
Graph attention network
Heterogeneous information
Interaction prediction
Model-based OPC
Predictive performance
EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction
期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 122
Authors:
Yuan, Yongna
;
Zhang, Yuhao
;
Meng, Xiangbo
;
Liu, Zhenyu
;
Wang, Bohan
;
Miao, Ruidong
;
Zhang, Ruisheng
;
Su, Wei
;
Liu, Lei
Favorite
  |  
  
Submit date:2023/07/18
DTIs prediction
Deep learning
Graph attention network
Heterogeneous network
Machine learning-based prediction models for pressure injury: A systematic review and meta-analysis
期刊论文
International Wound Journal, 2023
Authors:
Pei, Juhong
;
Guo, Xiaojing
;
Tao, Hongxia
;
Wei, Yuting
;
Zhang, Hongyan
;
Ma, Yuxia
;
Han, Lin
Favorite
  |  
  
Submit date:2023/07/18
machine learning algorithm
meta-analysis
predictive modelling
pressure injury
NoiseMol: A noise-robusted data augmentation via perturbing noise for molecular property prediction
期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 121
Authors:
Jiang, Jing
;
Zhang, RS(张瑞生)
;
Yuan, YN(袁永娜)
;
Li, Tongfeng
;
Li, Gaili
;
Zhao, ZL(赵志立)
;
Yu, Zhixuan
Favorite
  |  
  
Submit date:2023/05/25
Perturbing noise
SMILES
Data augmentation
Molecular property prediction
NoiseMol: A noise-robusted data augmentation via perturbing noise for molecular property prediction
期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 121
Authors:
Jiang, Jing
;
Zhang, RS(张瑞生)
;
Yuan, YN(袁永娜)
;
Li, Tongfeng
;
Li, Gaili
;
Zhao, ZL(赵志立)
;
Yu, Zhixuan
Favorite
  |  
  
Submit date:2023/05/25
Deep learning
Forecasting
Data augmentation
Entry system
Molecular properties
Molecular property prediction
Molecular representations
Perturbing noise
Property
Property predictions
Representation method
Simplified molecular-input line-entry system
NoiseMol: A noise-robusted data augmentation via perturbing noise for molecular property prediction
期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 121
Authors:
Jiang, Jing
;
Zhang, RS(张瑞生)
;
Yuan, YN(袁永娜)
;
Li, Tongfeng
;
Li, Gaili
;
Zhao, ZL(赵志立)
;
Yu, Zhixuan
Favorite
  |  
  
Submit date:2023/07/18
Deep learning
Forecasting
Data augmentation
Entry system
Molecular properties
Molecular property prediction
Molecular representations
Perturbing noise
Property
Property predictions
Representation method
Simplified molecular-input line-entry system
Analysis of mechanical behavior and electromechanical properties of REBCO-coated conductor tapes under combined bending-tension loads using numerical methods
期刊论文
SUPERCONDUCTOR SCIENCE & TECHNOLOGY, 2023, 卷号: 36, 期号: 4
Authors:
Pan, Yingzheng
;
Gao, PF(高配峰)
Favorite
  |  
  
Submit date:2023/04/12
Barium compounds
Copper oxides
Critical current density (superconductivity)
Finite element method
High temperature superconductors
Load limits
Loads (forces)
Numerical methods
Poisson distribution
Residual stresses
Superconducting magnets
Superconducting tapes
Coated conductors
Combined bending
Combined bending-tension load
Copper oxide films
Electromechanical property
Finite element modelling (FEM)
Mechanical behavior
Rare-earth barium copper oxide-coated conductor tape
Rare-earths
Tension loads
Analysis of mechanical behavior and electromechanical properties of REBCO-coated conductor tapes under combined bending-tension loads using numerical methods
期刊论文
SUPERCONDUCTOR SCIENCE & TECHNOLOGY, 2023, 卷号: 36, 期号: 4
Authors:
Pan, Yingzheng
;
Gao, PF(高配峰)
Favorite
  |  
  
Submit date:2023/05/25
Barium compounds
Copper oxides
Critical current density (superconductivity)
Finite element method
High temperature superconductors
Load limits
Loads (forces)
Numerical methods
Poisson distribution
Residual stresses
Superconducting magnets
Superconducting tapes
Coated conductors
Combined bending
Combined bending-tension load
Copper oxide films
Electromechanical property
Finite element modelling (FEM)
Mechanical behavior
Rare-earth barium copper oxide-coated conductor tape
Rare-earths
Tension loads