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Hu, J., Huang, M., & Yu, B.(2020).Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models.Accident Analysis and Prevention,144
Hu, J., Huang, M., & Yu, B.(2020).Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models.Accident Analysis and Prevention,144
Zhong, S., Hu, J., Fan, X., Yu, B., & Zhang, H.(2020).A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants.Journal of Hazardous Materials,383
Jiang, Z., Hu, J., Zhang, X., Zhao, Y., Fan, X., Zhong, S., Zhang, H., & Yu, B.(2020).A Generalized Predictive Model for TiO2–Catalyzed Photo-degradation Rate Constants of Water Contaminants through Artificial Neural Network.Environ. Res.,In revision
Zhong, S., Hu, J., Fan, X., Yu, B., & Zhang, H.(2020).A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants.JOURNAL OF HAZARDOUS MATERIALS,383
Hu, J., Wang, J., Wang, R., Yu, B., Liu, Y., & Baur, D.(2019).Analysis of biomechanical behavior of 3D printed mandibular graft with porous scaffold structure designed by topological optimization.3D Printing in Medicine,5(1).
Zhong, S., Hu, J., Fan, X., Xiong, Y., & Zhang, H.(2019).Deep Neural Network Combined with Molecular Fingerprints to Develop Prediction Models for Rate Constants of Water Contaminants with Hydroxyl Radical.J. Haz. Mat.,383, 121141.