Open Access
Issue
E3S Web Conf.
Volume 184, 2020
2nd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED 2020)
Article Number 01050
Number of page(s) 5
DOI https://doi.org/10.1051/e3sconf/202018401050
Published online 19 August 2020
  1. M. Korte, C. Constable, F. Donadini, and R. Holme, “Reconstructing the Holocene geomagnetic field,” Earth Planet. Sci. Lett., vol. 312, no. 3, pp. 497-505, (2011). [Google Scholar]
  2. A. Nilsson, R. Holme, M. Korte, N. Suttie, and M. Hill, “Reconstructing Holocene geomagnetic field variation: New methods, models and implictions,” Geophys. J. Int., vol. 198, no. 1, pp. 229-248, (2014). [Google Scholar]
  3. H. Liu, S. Liu, Z. Liu, N. Mrad, and H. Dong, “Prognostics of damage growth in composite materials using machine learning techniques,” in Proc. IEEE Int. [Google Scholar]
  4. S.M. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. Fasel, and J. Movellan, “Recognizing facial expression: Machine learning and application to spontaneous behavior,” in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR), vol. 2, Jun. (2005), pp. 568-573. [Google Scholar]
  5. M.A. Prasad, R.L. Iverson, and A. Liaw, “Newer classification and regression tree techniques: Bagging and random forests for ecological prediction,” Ecosystems, vol. 9, no. 2, pp. 181-199, (2006). [Google Scholar]
  6. O. Chapelle and V. Vapnik, “Model selection for support vector machines,” in Proc. NIPS, (1999), pp. 230-236. [Google Scholar]
  7. Dong.H, H. Liu, J. Ge, Z. Yuan, and Z. Zhao, “A high-precision frequency measurement algorithm for FID signal of proton magnetometer,” IEEE Trans. Instrum. Meas., Vol. 65, no. 4, pp. 898-904, Apr. 2016. [Google Scholar]
  8. M. Dumberry and C.C. Finlay, “Eastward and westward drift of the Earth’s magnetic field for the last three millennia,” Earth Planet. Sci. Lett., Vol. 254, nos. 1-2, pp. 146-157, 2007. [Google Scholar]
  9. X. Ma, C. Ding, S. Luan, Y. Wang and Y. Wang, “Prioritizing Influential Factors for Freeway Incident Clearance Time Prediction Using the Gradient Boosting Decision Trees Method,” in IEEE Transactions on Intelligent Transportation Systems, Vol. 18, no. 9, pp. 2303-2310, Sept. 2017, doi:10.1109/TITS.2016.2635719. [CrossRef] [Google Scholar]
  10. L. Kapper, F. Donadini, V. Serneels, E. Tema, A. Goguitchaichvili, and J.J. Morales, “Reconstructing the geomagnetic field in West Africa: First absolute intensity results from Burkina Faso,” Sci. Rep., vol. 7, Mar. (2017), Art. no. 45225. [Google Scholar]
  11. J. Lim, Reservoir properties determination using fuzzy logic and neural networks from well data in offshore Korea, J. Petrol. Sci. Eng. 49 (2005) 182-192. [Google Scholar]
  12. Bankupalli, P.T., Srikanth Babu, V., Suresh Kumar. T, International Journal of Applied Engineering Research, 10(16), 2015, pp. 37057-37062. [Google Scholar]
  13. Cho, Kyunghyun & van Merriënboer, Bart & Gulcehre, Caglar & Bougares, Fethi & Schwenk, Holger & Bengio, Y.. (2014). Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. 10.3115/v1/D14-1179. [Google Scholar]
  14. Mikolov, Tomas & Karafiát, Martin & Burget, Lukas & Cernocký, Jan & Khudanpur, Sanjeev. (2010). Recurrent neural network based language model. Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010. 2. 1045-1048. [Google Scholar]
  15. A. Bosch, A. Zisserman and X. Munoz, “Image Classification using Random Forests and Ferns,” 2007 IEEE 11th International Conference on Computer Vision, Rio de Janeiro, 2007, pp. 1-8, doi:10.1109/ICCV.2007.4409066. [Google Scholar]
  16. R.M. Winslow et al., “Observations of Mercury’s northern cusp region with MESSENGER’s Magnetometer,” Geophys. Res. Lett., Vol. 39, no. 8, p. L08112, 2012. [Google Scholar]
  17. D.M. Dutton and G.V. Conroy, “A review of machine learning,” Knowl. Eng. Rev., Vol. 12, no. 4, pp. 341-367, 1997. [Google Scholar]
  18. F. Lhuillier, J. Aubert, and G. Hulot, “Earth’s dynamo limit of predictability controlled by magnetic dissipation,” Geophys. J. Int., Vol. 186, no. 2, pp. 492-508, 2011. [Google Scholar]
  19. G. Hulot, F. Lhuillier, and J. Aubert, “Earth’s dynamo limit of predictability,” Geophys. Res. Lett., Vol. 37, no. 6, p. L06305, 2010. [Google Scholar]
  20. I. Wardinski and M. Korte, “The evolution of the core-surface flow over the last seven thousands years,” J. Geophys. Res., Solid Earth, Vol. 113, no. B5, p. B05101, 2008. [CrossRef] [Google Scholar]

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