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Effect of Peer Influence and Looting Concerns on Evacuation Behavior During Natural Disasters.

, , , , , , and . COMPLEX NETWORKS, volume 1016 of Studies in Computational Intelligence, page 377-389. Springer, (2021)

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Effect of Peer Influence and Looting Concerns on Evacuation Behavior During Natural Disasters., , , , , , and . COMPLEX NETWORKS, volume 1016 of Studies in Computational Intelligence, page 377-389. Springer, (2021)Data-Driven Modeling of Evacuation Decision-Making in Extreme Weather Events., , , , , , and . COMPLEX NETWORKS, volume 1015 of Studies in Computational Intelligence, page 681-692. Springer, (2021)Using Dominating Sets to Block Contagions in Social Networks., , , and . ASONAM, page 22-25. IEEE, (2022)Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium dataset., and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013425. SPIE, (2017)Lung nodule segmentation via level set machine learning., and . CoRR, (2019)WaveAR: A software tool for calculating parameters for water waves with incident and reflected components., , , and . Comput. Geosci., (2012)Augmenting Performance For Distributed Cloud Storage., and . CCGRID, page 1189-1192. IEEE Computer Society, (2015)Spatial Analysis of the Correlation between Scintillation Parameters and MP&ROTI., , , and . ENC, page 1-9. IEEE, (2020)Precipitable Water Vapour Retrieval from GPS Precise Point Positioning and NCEP CFSv2 Dataset during Typhoon Events., , , , , , and . Sensors, 18 (11): 3831 (2018)