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Journal Articles
- 2023
[j8]Li Shang, Zi Zhang, Fujian Tang
, Qi Cao, Nita Yodo, Hong Pan, Zhibin Lin:
Deep Learning Enriched Automation in Damage Detection for Sustainable Operation in Pipelines with Welding Defects under Varying Embedment Conditions. Comput. 11(11): 218 (2023)- [j7]Arup Dey, Nita Yodo, Om Prakash Yadav, Ragavanantham Shanmugam, Monsuru Ramoni:
Addressing Uncertainty in Tool Wear Prediction with Dropout-Based Neural Network. Comput. 12(9): 187 (2023) - [j6]Alex Davila-Frias, Nita Yodo, Trung Le, Om Prakash Yadav:
A deep neural network and Bayesian method based framework for all-terminal network reliability estimation considering degradation. Reliab. Eng. Syst. Saf. 229: 108881 (2023) - 2022
- [j5]Tanzina Afrin, Nita Yodo:
A Long Short-Term Memory-based correlated traffic data prediction framework. Knowl. Based Syst. 237: 107755 (2022) - 2019
- [j4]Tanzina Afrin, Nita Yodo:
A concise survey of advancements in recovery strategies for resilient complex networks. J. Complex Networks 7(3): 393-420 (2019) - 2018
- [j3]Nita Yodo, Pingfeng Wang:
A control-guided failure restoration framework for the design of resilient engineering systems. Reliab. Eng. Syst. Saf. 178: 179-190 (2018) - [j2]Nita Yodo, Pingfeng Wang, Melvin Rafi:
Enabling Resilience of Complex Engineered Systems Using Control Theory. IEEE Trans. Reliab. 67(1): 53-65 (2018) - 2017
- [j1]Nita Yodo, Pingfeng Wang, Zhi Zhou:
Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks. IEEE Trans. Reliab. 66(3): 761-770 (2017)
Coauthor Index
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