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Multi-kernel partial label learning using graph contrast disambiguation
Journal article
Li, Hongyan, Wan, Zhonglin, Vong, Chi Man. Multi-kernel partial label learning using graph contrast disambiguation[J]. Applied Intelligence, 2024, 54(20), 9760-9782.
Authors:
Li, Hongyan
;
Wan, Zhonglin
;
Vong, Chi Man
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
3.4
/
3.9
|
Submit date:2024/08/05
Dispersion Graph
Multi-kernel Learning
Partial Label Learning
Hyperbolic response and low-frequency ultra-flat plasmons in inhomogeneous charge-distributed transition-metal monohalides
Journal article
Han, G. A.O., Ning, Q. U., Zhang, Xuejin, Ding, Chao, Wang, Mingzheng, Wang, Juan, Yang, Bo, Zhao, Mingwen. Hyperbolic response and low-frequency ultra-flat plasmons in inhomogeneous charge-distributed transition-metal monohalides[J]. Optics Express, 2024, 32(13), 22525-22536.
Authors:
Han, G. A.O.
;
Ning, Q. U.
;
Zhang, Xuejin
;
Ding, Chao
;
Wang, Mingzheng
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
3.2
/
3.4
|
Submit date:2024/07/04
Dielectric-constant
Density-wave
Dispersion
Energy
Excitations
Polaritons
Solar
Zirconium
Scattering
Computer-driven formulation development of Ginsenoside Rh2 ternary solid dispersion
Journal article
Lu, Tianshu, Wu, Tongchuan, Zhong, Hao, Li, Xue, Zhang, Yunsen, Yue, Hao, Dai, Yulin, Li, Haifeng, Ouyang, Defang. Computer-driven formulation development of Ginsenoside Rh2 ternary solid dispersion[J]. Drug Delivery and Translational Research, 2024.
Authors:
Lu, Tianshu
;
Wu, Tongchuan
;
Zhong, Hao
;
Li, Xue
;
Zhang, Yunsen
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
5.7
/
5.5
|
Submit date:2024/07/04
(20s)-ginsenoside Rh2
Dissolution Rate
Gelucire 44/14
Molecular Dynamics Simulation
Ternary Solid Dispersion
PCM microcapsules applicable foam to improve the properties of thermal insulation and energy storage for cement-based material
Journal article
Gu, Yingzi, Li, Yunjian, Ju, Guangxu, Zheng, Tingyun, Liang, Rui, Sun, Guoxing. PCM microcapsules applicable foam to improve the properties of thermal insulation and energy storage for cement-based material[J]. Construction and Building Materials, 2023, 409, 134144.
Authors:
Gu, Yingzi
;
Li, Yunjian
;
Ju, Guangxu
;
Zheng, Tingyun
;
Liang, Rui
; et al.
Favorite
|
TC[WOS]:
11
TC[Scopus]:
11
IF:
7.4
/
8.0
|
Submit date:2024/01/02
Foam Cement
Foam Dispersion Efficacy
Phase Change Material
Thermal Insulation
Temperature Fiber Sensor Based on 1-D CNN Incorporated Time-Stretch Method for Accurate Detection
Journal article
Lin, Weihao, Liu, Yibin, Yu, Feihong, Zhao, Fang, Liu, Shuaiqi, Liu, Yuhui, Chen, Jinna, Vai, Mang I., Shum, Perry Ping, Shao, Li Yang. Temperature Fiber Sensor Based on 1-D CNN Incorporated Time-Stretch Method for Accurate Detection[J]. IEEE Sensors Journal, 2023, 23(6), 5773-5779.
Authors:
Lin, Weihao
;
Liu, Yibin
;
Yu, Feihong
;
Zhao, Fang
;
Liu, Shuaiqi
; et al.
Favorite
|
TC[WOS]:
7
TC[Scopus]:
8
IF:
4.3
/
4.2
|
Submit date:2023/04/03
1-d Cnn
Fiber Temperature Sensor
Time-stretch Method
Temperature Sensors
Optical Fiber Sensors
Optical Fibers
Optical Fiber Dispersion
Interference
Demodulation
Claddings
The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusion
Journal article
Jiang, Junhuang, Lu, Anqi, Ma, Xiangyu, Ouyang, Defang, Williams, Robert O.. The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusion[J]. International Journal of Pharmaceutics-X, 2023, 5, 100164.
Authors:
Jiang, Junhuang
;
Lu, Anqi
;
Ma, Xiangyu
;
Ouyang, Defang
;
Williams, Robert O.
Favorite
|
TC[WOS]:
11
TC[Scopus]:
12
|
Submit date:2023/02/28
Amorphous Solid Dispersion
Artificial Intelligence
Hot-melt Extrusion
Machine Learning
What are the obstacles in the way to “avoid landmines”? Influence of electronic word-of-mouth dispersion on order decision from the self-construal perspective
Journal article
Mengmeng Song, Rob Law, Yucong Duan. What are the obstacles in the way to “avoid landmines”? Influence of electronic word-of-mouth dispersion on order decision from the self-construal perspective[J]. International Journal of Hospitality Management, 2022, 107, 103334.
Authors:
Mengmeng Song
;
Rob Law
;
Yucong Duan
Favorite
|
TC[WOS]:
8
TC[Scopus]:
9
IF:
9.9
/
10.3
|
Submit date:2022/11/07
Electronic Word-of-mouth Dispersion
Order Decision
Attribution Selection
Endowment Effect
Self-construal
High dimensional Riesz space distributed-order advection-dispersion equations with ADI scheme in compression format
Journal article
Chou, L. K., Lei, S. L.. High dimensional Riesz space distributed-order advection-dispersion equations with ADI scheme in compression format[J]. Electronic Research Archive, 2022, 30(4), 1463-1476.
Authors:
Chou, L. K.
;
Lei, S. L.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
1.0
/
1.0
|
Submit date:2022/07/27
High Dimension
Advection-dispersion Equations
Riesz Fractional Derivative
Distributed-order
Alternating Direction Implicit Method
Compression Format
Effects of word-related factors on first and second language English readers' incidental acquisition of vocabulary through reading an authentic novel
Journal article
Reynolds, Barry Lee, Ding, Chen. Effects of word-related factors on first and second language English readers' incidental acquisition of vocabulary through reading an authentic novel[J]. English Teaching: Practice and Critique, 2022, 21(2), 171-191.
Authors:
Reynolds, Barry Lee
;
Ding, Chen
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
0.8
/
0.9
|
Submit date:2022/05/17
Reading
Frequency
Dispersion
Cognate
Incidental Vocabulary Acquisition
Range
Authentic Novel
PharmSD: A novel AI-based computational platform for solid dispersion formulation design
Journal article
Dong, Jie, Gao, Hanlu, Ouyang, Defang. PharmSD: A novel AI-based computational platform for solid dispersion formulation design[J]. International Journal of Pharmaceutics, 2021, 604, 120705.
Authors:
Dong, Jie
;
Gao, Hanlu
;
Ouyang, Defang
Favorite
|
TC[WOS]:
20
TC[Scopus]:
23
IF:
5.3
/
5.6
|
Submit date:2021/12/08
Computational Platform
Drug Design
Formulation
Machine Learning
Solid Dispersion
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