Deep Learning for Blast Furnaces: Skip-Dense Layers Deep Learning Model to Predict the Remaining Time to Close Tap-holes for Blast Furnaces.
Keeyoung Kim|Byeongrak Seo|Sang-Hoon Rhee|Seungmoon Lee|Simon S. Woo
| Anthology ID: | DBLP:conf/cikm/KimSRLW19 |
|---|---|
| Volume: | Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. |
| Year: | 2019 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2733-2741 |
| URL: | https://doi.org/10.1145/3357384.3357803 |
| DOI: | https://doi.org/10.1145/3357384.3357803 |
| DBLP: | conf/cikm/KimSRLW19 |
| BibTeX: |
@inproceedings{kim-2019-deep,
author = {Keeyoung Kim and
Byeongrak Seo and
Sang-Hoon Rhee and
Seungmoon Lee and
Simon S. Woo},
editor = {Wenwu Zhu and
Dacheng Tao and
Xueqi Cheng and
Peng Cui and
Elke A. Rundensteiner and
David Carmel and
Qi He and
Jeffrey Xu Yu},
title = {{Deep Learning for Blast Furnaces: Skip-Dense Layers Deep Learning Model to Predict the Remaining Time to Close Tap-holes for Blast Furnaces}},
booktitle = {{Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019}},
pages = {2733--2741},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3357384.3357803},
doi = {https://doi.org/10.1145/3357384.3357803}
}