1. Ahmad, M. W., Mourshed, M., & Rezgui, Y. (2017). Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption. Energy and Buildings, 147, 77–89.
2. Bai, L., Wang, C., Zang, S., Zhang, Y., Hao, Q., & Wu, Y. (2016). Remote sensing of soil alkalinity and salinity in the Wuyu’er-Shuangyang River Basin, Northeast China. Remote Sensing, 8(2), 163.
3. Banerjee, K., Panda, S., Bandyopadhyay, J., & Jain, M. K. (2014). Forest canopy density mapping using advance geospatial technique. International Journal of Innovative Science, Engineering & Technology, 1(7), 358–363.
4. Bannari, A., Guédon, A., & El-Ghmari, A. (2016). Mapping slight and moderate saline soils in irrigated agricultural land using advanced land imager sensor (EO-1) data and semi-empirical models. Communications in Soil Science and Plant Analysis, 47(16), 1883–1906.
5. Breaux, H. J. (1967). On stepwise multiple linear regression. Army Ballistic Research Lab Abredeen Proving Ground MD.