1. Abadi, M., Barham, P., Chen, J.M., Chen, Z.F., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D.G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., Zheng, X.Q., 2016. TensorFlow: a system for large-scale machine learning. The 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) 2016, 265-283.
2. Machine learning technique for the prediction of shear wave velocity using petrophysical logs;Anemangely;J. Pet. Sci. Eng.,2019
3. A bonded particle model simulation of shear strength and asperity degradation for rough rock fractures;Asadi;Rock Mech. Rock Eng.,2012
4. Prediction of compressional, shear, and stoneley wave velocities from conventional well log data using a committee machine with intelligent systems;Asoodeh;Rock Mech. Rock Eng.,2012
5. Numerical direct shear tests to model the shear behavior of rock joints;Bahaaddini;Comput. Geotech.,2013