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Showing results 23 to 36 of 36
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Issue Date
Title
Author(s)
2013-12-01
Ownership structure and divestiture decisions: Evidence from Australian firms
Nguyen, P
;
Rahman, N
;
Zhao, R
2017-01-01
Returns to acquirers of listed and unlisted targets: an empirical study of Australian bidders
Nguyen, P
;
Rahman, N
;
Zhao, R
2023-02-01
Scattering of P-wave and transient response around a fluid-filled cavity in an elastic medium
Tao, M
;
Xiang, GL
;
Zhao, R
;
Wu, CQ
2023-06-27
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
Xiang, S
;
Zhu, M
;
Cheng, D
;
Li, E
;
Zhao, R
;
Ouyang, Y
;
Chen, L
;
Zheng, Y
2023-02-01
Spallation damage of underground openings caused by excavation disturbance of adjacent tunnels
Zhao, R
;
Tao, M
;
Wu, C
;
Wang, S
;
Zhu, J
2024-01
Stock liquidity effect on leverage: The role of debt security, financial constraint, and risk around the global financial crisis and Covid-19 pandemic
Armanious, A
;
Zhao, R
2023-07
Stock liquidity, cash flow sensitivity and the value of cash
Spiropoulos, H
;
Zhao, R
2010-01-01
Stock splits and bond yields: Isolating the signaling hypothesis
Michayluk, D
;
Zhao, R
2021-01-01
Structure-Enhanced Attentive Learning for Spine Segmentation from Ultrasound Volume Projection Images
Zhao, R
;
Huang, Z
;
Liu, T
;
Leung, FHF
;
Ling, SH
;
Yang, D
;
Lee, TTY
;
Lun, DPK
;
Zheng, YP
;
Lam, KM
2022-12-01
Study on size and load rate effect of dynamic fragmentation and mechanical properties of marble sphere
Zhao, R
;
Tao, M
;
Wu, C
;
Li, X
;
Wang, S
2021-01-14
Subspace learning for facial expression recognition: an overview and a new perspective
Turan, C
;
Zhao, R
;
Lam, K-M
;
He, X
2021-01-29
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms
Zhao, R
2023-11-01
Theoretical study on dynamic stress redistribution around circular tunnel with different unloading paths
Zhao, R
;
Tao, M
;
Zhao, H
;
Wu, C
;
Cao, W
2023-02-01
Time-Varying Pattern and Prediction Model for Geopolymer Mortar Performance under Seawater Immersion.
Wu, Y
;
Du, K
;
Wu, C
;
Tao, M
;
Zhao, R