1. Abadi, M., Barham, P., Chen, J., Chen, Z., 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., 2016. TensorFlow: A system for large-scale machine learning, 18pp. https://arxiv.org/pdf/1605.08695.
2. Tablet strength, porosity, elasticity and solid state structure of tablets compressed at high loads;Adolfsson;Int. J. Pharm.,1996
3. Mechanical properties of starch esters at particle and compact level - Comparisons and exploration of the applicability of Hiestand’s equation to predict tablet strength;Al-Zoubi;Eur. J. Pharm. Sci,2020
4. Compressibility analysis as robust in die compression analysis for describing tableting behaviour;Berkenkemper;RPSPPR,2022
5. Multivariate data analysis to evaluate commonly used compression descriptors;Berkenkemper;Int. J. Pharm.,2023