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Impacts of ICT-related factors on students’ digital reading literacy: Evidence from high-performing Asian countries and regions
Journal article
Li, Chenyang, Chen, Fu. Impacts of ICT-related factors on students’ digital reading literacy: Evidence from high-performing Asian countries and regions[J]. Education and Information Technologies, 2024, 29(13), 16717-16747.
Authors:
Li, Chenyang
;
Chen, Fu
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
4.8
/
4.8
|
Submit date:2024/05/16
Digital Reading Literacy
Information And Communication Technology
Home
School
Random Forest
Examining key capitals contributing to students' science-related career expectations and their relationship patterns: A machine learning approach
Journal article
Tan, Lihua, Chen, Fu, Wei, Bing. Examining key capitals contributing to students' science-related career expectations and their relationship patterns: A machine learning approach[J]. Journal of Research in Science Teaching, 2024.
Authors:
Tan, Lihua
;
Chen, Fu
;
Wei, Bing
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
3.6
/
4.9
|
Submit date:2024/05/16
Accumulated Local Effect Plot
Habitus
Random Forest
Science Capital
Science-related Career Aspirations
Construction and analysis of a joint diagnostic model of machine learning for cryptorchidism based on single-cell sequencing
Journal article
Chen, Yuehua, Zhou, Xiaomeng, Ji, Linghua, Zhao, Jun, Xian, Hua, Xu, Yunzhao, Wang, Ziheng, Ge, Wenliang. Construction and analysis of a joint diagnostic model of machine learning for cryptorchidism based on single-cell sequencing[J]. Birth Defects Research, 2024, 116(3), e2316.
Authors:
Chen, Yuehua
;
Zhou, Xiaomeng
;
Ji, Linghua
;
Zhao, Jun
;
Xian, Hua
; et al.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
1.6
/
2.7
|
Submit date:2024/04/02
Cryptorchidism
Machine Learning
Random Forest Model
Rna-sequencing
Single-cell Sequencing
A multi-layer composite identification scheme of cryptographic algorithm based on hybrid random forest and logistic regression model
Journal article
Yuan, Ke, Huang, Yabing, Du, Zhanfei, Li, Jiabao, Jia, Chunfu. A multi-layer composite identification scheme of cryptographic algorithm based on hybrid random forest and logistic regression model[J]. Complex & Intelligent Systems, 2024, 10(1), 1131-1147.
Authors:
Yuan, Ke
;
Huang, Yabing
;
Du, Zhanfei
;
Li, Jiabao
;
Jia, Chunfu
Favorite
|
TC[WOS]:
0
TC[Scopus]:
2
IF:
5.0
/
5.2
|
Submit date:2024/02/22
Cluster Division Identification
Cryptanalysis
Cryptographic Algorithm Identification
Ensemble Learning
Hybrid RAndom Forest And Logistic Regression
Single-layer Identification
A Hybrid Model for Solar Radiation Forecasting towards Energy Efficient Buildings
Conference paper
Peng,Qiaoyan, Zhou,Xiaoyu, Zhu,Renjie, Liang,Ruming, He,Xiliang, Gao,Shuhua. A Hybrid Model for Solar Radiation Forecasting towards Energy Efficient Buildings[C]:Institute of Electrical and Electronics Engineers Inc., 2023, 7-12.
Authors:
Peng,Qiaoyan
;
Zhou,Xiaoyu
;
Zhu,Renjie
;
Liang,Ruming
;
He,Xiliang
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
|
Submit date:2023/08/03
Informer
Random Forest
Short-term Prediction
Solar Irradiation
Intelligent fault monitoring and diagnosis of tunnel fans using a hierarchical cascade forest
Journal article
Yang, Zhi Xin, Li, Chao Shun, Wang, Xian Bo, Chen, Hao. Intelligent fault monitoring and diagnosis of tunnel fans using a hierarchical cascade forest[J]. ISA Transactions, 2022, 136, 442-454.
Authors:
Yang, Zhi Xin
;
Li, Chao Shun
;
Wang, Xian Bo
;
Chen, Hao
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
6.3
/
5.9
|
Submit date:2023/01/30
Confidence Estimation
Deep Forest
Hierarchical Cascade Structure
Intelligent Fault Diagnosis
Random Forest
Tunnel Fans
In silico formulation prediction of drug/cyclodextrin/polymer ternary complexes by machine learning and molecular modeling techniques
Journal article
Li, Junjun, Gao, Hanlu, Ye, Zhuyifan, Deng, Jiayin, Ouyang, Defang. In silico formulation prediction of drug/cyclodextrin/polymer ternary complexes by machine learning and molecular modeling techniques[J]. Carbohydrate Polymers, 2022, 275(118712).
Authors:
Li, Junjun
;
Gao, Hanlu
;
Ye, Zhuyifan
;
Deng, Jiayin
;
Ouyang, Defang
Favorite
|
TC[WOS]:
16
TC[Scopus]:
16
IF:
10.7
/
10.2
|
Submit date:2022/02/21
Machine Learning
Molecular Modeling
Random Forest
Solubility Prediction
Ternary Cyclodextrin Complexes
LigTMap: ligand and structure-based target identification and activity prediction for small molecular compounds
Journal article
Shaikh, Faraz, Tai, Hio Kuan, Desai, Nirali, Siu, Shirley W.I.. LigTMap: ligand and structure-based target identification and activity prediction for small molecular compounds[J]. Journal of Cheminformatics, 2021, 13(1), 44.
Authors:
Shaikh, Faraz
;
Tai, Hio Kuan
;
Desai, Nirali
;
Siu, Shirley W.I.
Favorite
|
TC[WOS]:
15
TC[Scopus]:
16
IF:
7.1
/
9.3
|
Submit date:2021/12/09
Binding Affinity Prediction
Binding Interaction Fingerprint
Drug Repurposing
Fingerprint Similarity
Inverse Docking
Psovina
Random Forest
Target Prediction
Integrated in Silico Formulation Design of Lipid-based Drug Delivery Systems
Journal article
Gao, Haoshi, Jia, Haoyue, Dong, Jie, Yang, Xinggang, Li, Haifeng, Ouyang, Defang. Integrated in Silico Formulation Design of Lipid-based Drug Delivery Systems[J]. Acta Pharmaceutica Sinica B, 2021, 11(11), 3585-3594.
Authors:
Gao, Haoshi
;
Jia, Haoyue
;
Dong, Jie
;
Yang, Xinggang
;
Li, Haifeng
; et al.
Adobe PDF
|
Favorite
|
TC[WOS]:
28
TC[Scopus]:
36
IF:
14.7
/
14.1
|
Submit date:2022/08/15
Central Composite Design
Meloxicam
Molecular Dynamic Simulation
Random Forest
Self-emulsifying Drug Delivery System
Integrated in silico formulation design of self-emulsifying drug delivery systems
Journal article
Gao, Haoshi, Jia, Haoyue, Dong, Jie, Yang, Xinggang, Li, Haifeng, Ouyang, Defang. Integrated in silico formulation design of self-emulsifying drug delivery systems[J]. Acta Pharmaceutica Sinica B, 2021, 11(11), 3585-3594.
Authors:
Gao, Haoshi
;
Jia, Haoyue
;
Dong, Jie
;
Yang, Xinggang
;
Li, Haifeng
; et al.
Favorite
|
TC[WOS]:
28
TC[Scopus]:
36
IF:
14.7
/
14.1
|
Submit date:2021/10/02
Central Composite Design
Meloxicam
Molecular Dynamic Simulation
Random Forest
Self-emulsifying Drug Delivery System