Zhibo Wu
Orcid: 0000-0002-2195-2292
According to our database1,
Zhibo Wu
authored at least 23 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Neural Process. Lett., October, 2024
2023
Mask R-CNN-Based Landslide Hazard Identification for 22.6 Extreme Rainfall Induced Landslides in the Beijiang River Basin, China.
Remote. Sens., October, 2023
Coal-Rock Image Recognition Method for Complex and Harsh Environment in Coal Mine Using Deep Learning Models.
IEEE Access, 2023
2020
Int. J. Grid High Perform. Comput., 2020
IEEE Access, 2020
2019
J. Inf. Technol. Res., 2019
2017
Proceedings of the Communications and Networking, 2017
2016
Reliab. Eng. Syst. Saf., 2016
2015
An imperfect software debugging model considering log-logistic distribution fault content function.
J. Syst. Softw., 2015
2014
A study on software reliability prediction based on triple exponential smoothing method (WIP).
Proceedings of the 2014 Summer Simulation Multiconference, 2014
A General Imperfect Software Debugging Model Considering the Nonlinear Process of Fault Introduction.
Proceedings of the 2014 14th International Conference on Quality Software, 2014
2013
J. Softw., 2013
2012
Inf. Process. Lett., 2012
2011
SA Based Software Deployment Reliability Estimation Considering Component Reliability of Exponential Distribution.
J. Softw., 2011
Intell. Autom. Soft Comput., 2011
Reliability Analysis Of SA based Software Deployment with Consideration of System Deployment.
Intell. Autom. Soft Comput., 2011
Intell. Autom. Soft Comput., 2011
An Effective Bi-Criteria and Contention Awareness Scheduling in Heterogeneous Distributed Systems.
Intell. Autom. Soft Comput., 2011
2010
2009
Proceedings of the 28th IEEE Symposium on Reliable Distributed Systems (SRDS 2009), 2009
2008
Proceedings of the 14th IEEE Pacific Rim International Symposium on Dependable Computing, 2008
Proceedings of the 14th International Conference on Parallel and Distributed Systems, 2008
Considering the Dependency of Fault Detection and Correction in Software Reliability Modeling.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008