APA (7th ed.) Citation

Chen, W., Lei, X., Chakrabortty, R., Chandra Pal, S., Sahana, M., & Janizadeh, S. (2021). Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility. Journal of environmental management, 284, 112015. https://doi.org/10.1016/j.jenvman.2021.112015

Chicago Style (17th ed.) Citation

Chen, Wei, Xinxiang Lei, Rabin Chakrabortty, Subodh Chandra Pal, Mehebub Sahana, and Saeid Janizadeh. "Evaluation of Different Boosting Ensemble Machine Learning Models and Novel Deep Learning and Boosting Framework for Head-cut Gully Erosion Susceptibility." Journal of Environmental Management 284 (2021): 112015. https://doi.org/10.1016/j.jenvman.2021.112015.

MLA (9th ed.) Citation

Chen, Wei, et al. "Evaluation of Different Boosting Ensemble Machine Learning Models and Novel Deep Learning and Boosting Framework for Head-cut Gully Erosion Susceptibility." Journal of Environmental Management, vol. 284, 2021, p. 112015, https://doi.org/10.1016/j.jenvman.2021.112015.