Zhen Li
Orcid: 0000-0002-6743-4829Affiliations:
- Jiangsu University of Science and Technology, School of Electronics and Information, Zhenjiang, China
According to our database1,
Zhen Li authored at least 13 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Research on warship system modeling and recovery based on hybrid improved ant colony optimization and genetic algorithm.
Evol. Syst., February, 2026
AJF-ABL: A Python package for software defect prediction based on AST joint features and the Attention-Bi-LSTM.
SoftwareX, 2026
2025
Enhanced Object Detection Algorithms in Complex Environments via Improved CycleGAN Data Augmentation and AS-YOLO Framework.
J. Imaging, 2025
Research on Warship System Resilience Based on Intelligent Recovery with Improved Ant Colony Optimization.
Algorithms, 2025
2022
A Systematic Research on System Recovery Based on Improved Genetic Algorithm and Quotient Resilience Model Under Attack and Damage.
Int. J. Comput. Intell. Syst., 2022
2021
Safety Ontology Modeling and Verification on MIS of Ship-Building and Repairing Enterprise.
KSII Trans. Internet Inf. Syst., 2021
Comput. Intell. Neurosci., 2021
Software Defects Prediction Based on Hybrid Particle Swarm Optimization and Sparrow Search Algorithm.
IEEE Access, 2021
Safety Modeling and Analysis of Undercarriage System Based on Cross-Verification of FHA and PHA.
Proceedings of the CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering, Singapore, October 22, 2021
Testability Evaluation by Multi-sources Bayes Method Applied in Torpedo Weapon System with Improved Jaccard Similarity.
Proceedings of the ACAI 2021: 4th International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 22, 2021
2020
Parameter Estimation of Software Reliability Model and Prediction Based on Hybrid Wolf Pack Algorithm and Particle Swarm Optimization.
IEEE Access, 2020
2019
Using Hybrid Algorithm to Estimate and Predicate Based on Software Reliability Model.
IEEE Access, 2019