인공지능을 활용한 신개념 식품안전 기술

  • Published : 2017.12.30

Abstract

Keywords

References

  1. E.P. Sanz, et al. "Email spam filtering." Advances in computers, vol. 74. pp. 45-114, 2008.
  2. M. Bojarski, et al. "End to end learning for self-driving cars." arXiv, arXiv:1604.07316, 2016.
  3. S. Doyle-Lindrud, "Watson will see you now: a supercomputer to help clinicians make informed treatment decisions." Clinical journal of oncology nursing, vol. 19(1), pp. 31-32, 2015. https://doi.org/10.1188/15.CJON.31-32
  4. K. Ramesh, et al. "A Survey of Design Techniques for Conversational Agents." Intermational Conference on Information, Communication and Computing Technology, Springer, Singapore, pp. 336-350, 11, October, 2017.
  5. I. V. Serban, et al. "A deep reinforcement learning chatbot." arXiv, arXiv:1709.02349, 2017.
  6. J. Cui, et al. "Modelling and simulation for table tennis referee regulation based on finite state machine." Journal of sports sciences, vol. 35(19), pp. 1888-1896, 2017. https://doi.org/10.1080/02640414.2016.1241417
  7. S. M. Shieber, "The Turing test: verbal behavior as the hallmark of intelligence." Mit Press, 2004.
  8. M. John, et al. "A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955." AI magazine, vol. 27(4), 2006.
  9. K. He, et al. "Deep residual learning for image recognition." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
  10. D. Amodei, et al. "Deep speech 2: End-to-end speech recognition in english and mandarin." International Conference on Machine Learning, vol. 48, New York, USA, 2016.
  11. Gigagenie, KT corp., https://gigagenie.kt.com/ltemain.do
  12. NUGU, SK Telecom, http://www.nugu.co.kr/main
  13. D. Silver, et al. "Mastering the game of Go with deep neural networks and tree search." Nature, vol 529(7587), pp. 484-489, 2016. https://doi.org/10.1038/nature16961
  14. D.H. Ahn, et al. "Optimization of a Cell Counting Algorithm for Mobile Point-of-Care Testing Platforms." Sensors, vol. 14(8). pp. 15244-15261, 2014. https://doi.org/10.3390/s140815244
  15. J.C. McCall and M.M. Trivedi, "Video-based lane estimation and tracking for diver assistance: survey, system, and evaluation." IEEE transactions on intelligent transportation systems, vol. 7(1), pp. 20-37, 2006. https://doi.org/10.1109/TITS.2006.869595
  16. H. Park, et al., "Automaic Identification of Driver's Smartphone Exploiting Common Vehicleriding Actions." IEEE Transactions on Mobile Computing, 2017.