참고문헌 (29)

1. Abiodun, O.I., Jantan, A., Omolara, A.E., Dada, K.V.,？Umar, A.M., Linus, O.U., Arshad, H., Kazaure, A.A., Gana, U., and Kiru, M.U., Comprehensive review of？artificial neural network applications to pattern recognition, IEEE Access, 2019, Vol. 7, pp. 158820-158846. 

   상세보기

2. Ahn, H.J., Kim, H.B., Jung, D.W., Kim, D.J., and Lee,？D.K., Development of Artificial Intelligence-Based？Anomaly Detection Method for Aerospace Systems,？Korea Aerospace Research Institute, 2019. 

3. Alqudsi, A. and El-Hag, A., Application of machine？learning in transformer health index prediction, Energies,？2019, Vol. 12, No. 14, p. 2694. 

   상세보기

4. Bohatyrewicz, P. and Mrozik, A., The analysis of power？transformer population working in different operating？conditions with the use of health index, Energies, 2021,？Vol. 14, No. 16, p. 5213. 

   상세보기

5. Chandar, S., Sankar, C., Vorontsov, E., Kahou, S.E.,？and Bengio, Y., Towards non-saturating recurrent units？for modelling long-term dependencies, Proceedings of？the AAAI Conference on Artificial Intelligence, 2019,？Vol. 33, No. 01, pp. 3280-3287. 

6. Chen, G., A gentle tutorial of recurrent neural network？with error backpropagation, arXiv preprint arXiv, 2016,？1610.02583. 

7. Fang, W., Chen, Y., and Xue, Q., Survey on research？of RNN-based spatio-temporal sequence prediction algorithms, Journal on Big Data, 2021, Vol. 3, No. 3, p.？97. 

8. Jahromi, A., Piercy, R., Cress, S., Service, J., and Fan,？W., An approach to power transformer asset management？using health index, IEEE Electrical Insulation Magazine,？2009, Vol. 25, No. 2, pp. 20-34. 

   상세보기

9. Jana, R.K., Ghosh, I., and Wallin, M.W., Taming energy？and electronic waste generation in bitcoin mining: Insights？from Facebook prophet and deep neural network,？Technological Forecasting and Social Change, 2022,？Vol. 178, p. 121584. 

   상세보기

10. Jang, S.M., Moon, J-H., and Sohn, K-A., Comparison？of Transformer and LSTM for threat detection and traffic？prediction on long time-series data, Journal of Korean？Institute of Next Generation Computing, 2021, pp. 18-21. 

11. Jin, Y-H., Ji, S-H., and Han, K-H., Time Series Data？Analysis and Prediction System Using PCA, Journal？of the Korea Convergence Society, 2020, Vol. 12, No.？11, pp. 99-107. 

12. Jung, I.K., Park, D.K., and Jun, D.B., Performance of？Pairs Trading Algorithm with the Implementation of？Structural Changes Detection Procedure, Journal of The？Korean Operations Research and Management Science？Society, 2017, Vol. 42, No. 3, pp. 13-24. 

13. Kim, Y.S. and Park, K.S., The Multivariate Sensor Data？Classification using Time Series Imaging, Journal of？Korean Institute of Information Scientists and Engineers,？2022, Vol. 49, No. 8, pp. 593-600. 

14. Lim, J., Kim, I.K., Lee, M.H., Ha, J.M., and Lee, J.K.,？Performance comparison of network anomaly detection？using BERT, LSTM and GRU, Journal of Korean？Institute of Communications and Information Sciences,？2022, pp. 1268-1269. 

15. Mizuno, T., Fujimoto, S., and Ishikawa, A., Generation？of individual daily trajectories by GPT-2, Frontiers in？Physics, 2022, p. 1118. 

16. Murugan, R. and Ramasamy, R., Understanding the power transformer component failures for health index-based？maintenance planning in electric utilities, Engineering？Failure Analysis, 2019, Vol. 96, pp. 274-288. 

    상세보기

17. Naderian, A., Cress, S., Piercy, R., Wang, F., and Service,？J., An approach to determine the health index of power？transformers, Conference Record of the 2008 IEEE？International Symposium on Electrical Insulation, 2008,？pp. 192-196. 

18. Oh, H-W. and Kim, W-S., A Study on the Small Motion？Classification Model based on Time Serial Data, Journal？of Korean Institute of Communications and Information？Sciences, 2022, pp. 949-950. 

19. Qi, W., Yan, Y., Gonkg, Y., Liu, D., Duan, N., Chen,？J., Zhang, R., and Zhou, M., Prophetnet: Predicting future？n-gram for sequence-to-sequence pre-training, arXiv preprint arXiv, 2020, 2001.04063. 

20. Rediansyah, D., Prasojo, R.A., and Abu-Siada, A.,？Artificial intelligence-based power transformer health index for handling data uncertainty, IEEE Access, 2021,？Vol. 9, pp. 150637-150648. 

    상세보기

21. Sandoval, R.M., Garcia-Sanchez, A.J., Garcia-Haro, J.,？and Chen, T.M., Optimal policy derivation for transmission duty-cycle constrained LPWAN, IEEE Internet？of Things Journal, 2018, Vol. 5, No. 4, pp. 3114-3125. 

    상세보기

22. Saqlain, M., Jargalsaikhan, B., and Lee, J.Y., A voting？ensemble classifier for wafer map defect patterns identification in semiconductor manufacturing, IEEE Transactions on Semiconductor Manufacturing, 2019, Vol. 32,？No. 2, pp. 171-182. 

    상세보기

23. Sherstinsky, A., Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network, Physica D: Nonlinear Phenomena, 2020, Vol. 404,？p. 132306. 

    상세보기

24. Tan, C., Deep Reinforcement Learning with Copy-oriented Context Awareness and Weighted Rewards for？Abstractive Summarizatio, Proceedings of the 2023 2nd？Asia Conference on Algorithms, Computing and Machine？Learning, 2023, pp. 84-89. 

25. Xiao, J. and Zhou, Z., Research progress of RNN language？model, 2020 IEEE International Conference on Artificial？Intelligence and Computer Applications (ICAICA), 2020,？pp. 1285-1288. 

26. Yi, D-H., Yu, Y.S., Ko, Y.D., Jo, H.K., and Park, C.S.,？Classification of Building Energy Pattern based on Robust？Regression and Time series clustering, Journal of the？Architectural Institute of Korea, 2020, Vol. 40, No. 2,？pp. 392-393. 

27. Yoo, I-J. and Park, D-H., Derivation of Digital Music's？Ranking Change Through Time Series Clustering,？Journal of Intelligence and Information Systems, 2020,？Vol. 26, No. 3, pp. 171-191. 

28. Yook, H.N., Kim, Y-J., Choi, Y.S., Oh, J.W., Lee, K.,？and Ha, S.L., Comprehensive Studies on Reliability of？Cutting Blade According to the Material of Knife Mill？Used in Biomass Pretreatment Process, Transactions of？the Korean Society of Mechanical Engineers, 2022, p.？171. 

29. Zhang, M. and Li, J., A commentary of GPT-3 in MIT？Technology Review 2021, Fundamental Research, 2021,？Vol. 1, No. 6, pp. 831-833.？ 

    상세보기

저자의 다른 논문 :

김용수 (45)