Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks. - Nita Yodo; Pingfeng Wang; Zhi Zhou 006 (IEEE Trans. Reliab., 2017)

A control-guided failure restoration framework for the design of resilient engineering systems. - Nita Yodo; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2018)

Enabling Resilience of Complex Engineered Systems Using Control Theory. - Nita Yodo; Pingfeng Wang; Melvin Rafi (IEEE Trans. Reliab., 2018)

A concise survey of advancements in recovery strategies for resilient complex networks. - Tanzina Afrin; Nita Yodo (J. Complex Networks, 2019)

A Long Short-Term Memory-based correlated traffic data prediction framework. - Tanzina Afrin; Nita Yodo (Knowl. Based Syst., 2022)

A deep neural network and Bayesian method based framework for all-terminal network reliability estimation considering degradation. - Alex Davila-Frias; Nita Yodo; Trung Le 007; Om Prakash Yadav (Reliab. Eng. Syst. Saf., 2023)

Addressing Uncertainty in Tool Wear Prediction with Dropout-Based Neural Network. - Arup Dey; Nita Yodo; Om Prakash Yadav; Ragavanantham Shanmugam; Monsuru Ramoni (Comput., 2023)

Deep Learning Enriched Automation in Damage Detection for Sustainable Operation in Pipelines with Welding Defects under Varying Embedment Conditions. - Li Shang; Zi Zhang; Fujian Tang; Qi Cao; Nita Yodo; Hong Pan; Zhibin Lin (Comput., 2023)