CORC

浏览/检索结果: 共47条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Mining Cross Features for Financial Credit Risk Assessment 会议论文
Queensland, Australia, 2021.11.01-2021.11.05
作者:  Liu, Qiang;  Liu, Zhaocheng;  Zhang, Haoli;  Chen, Yuntian;  Zhu, Jun
收藏  |  浏览/下载:24/0  |  提交时间:2022/04/07
Online Community Identification over Heterogeneous Attributed Directed Graphs 会议论文
Foshan, China, November 12-14, 2020
作者:  Wang ZZ(王泽众);  Zhou, Xiangmin;  Ma, Yuliang;  Yi, Xun
收藏  |  浏览/下载:6/0  |  提交时间:2021/03/14
A Novel Text Personalized Analysis Model Based on BP Neural Network 会议论文
Shanghai, China, October 25-25, 2020
作者:  Wang ZF(王忠锋);  Wang C(王楚);  Li LG(李力刚);  Pan, Zhudong;  Zou, Yunfeng
收藏  |  浏览/下载:8/0  |  提交时间:2021/03/14
An airSea manta-ray robot in 5G OGCE 会议论文
Beijing, China, March 22-24, 2019
作者:  Yuan MZ(苑明哲);  Lv Y(吕毅);  Wang ZF(王忠锋);  Lv Z(吕志)
收藏  |  浏览/下载:126/0  |  提交时间:2019/08/03
Video-based Fall Detection for Seniors with Human Pose Estimation 会议论文
4th IEEE International Conference on Universal Village 2018, UV 2018, 2018-10-21
作者:  Huang, Z.;  Liu, Y.;  Fang, Y.;  Horn, B.K.P.
收藏  |  浏览/下载:13/0  |  提交时间:2019/12/30
An airSea manta-ray robot in 5G OGCE 会议论文
Beijing, China, March 22-24, 2019
作者:  Lv Z(吕志);  Wang ZF(王忠锋);  Lv Y(吕毅);  Yuan MZ(苑明哲)
收藏  |  浏览/下载:2/0  |  提交时间:2019/08/03
An analytical approach for strain analysis of buried steel pipeline in mining subsidence areas 会议论文
ASME 2017 Pressure Vessels and Piping Conference, PVP 2017, Waikoloa, HI, United states, 2017-07-16
作者:  Xia, Mengying;  Zhang, Hong
收藏  |  浏览/下载:4/0  |  提交时间:2020/01/03
AN ANALYTICAL APPROACH FOR STRAIN ANALYSIS OF BURIED STEEL PIPELINE IN MINING SUBSIDENCE AREAS 会议论文
PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE, 2017, VOL 5, 2017-01-01
-
收藏  |  浏览/下载:3/0  |  提交时间:2020/01/03
AN ANALYTICAL APPROACH FOR STRAIN ANALYSIS OF BURIED STEEL PIPELINE IN MINING SUBSIDENCE AREAS 会议论文
ASME Pressure Vessels and Piping Conference, Waikoloa, HI
作者:  Xia, Mengying;  Zhang, Hong
收藏  |  浏览/下载:5/0  |  提交时间:2020/01/03
Congestion Prediction for Urban Areas by Spatiotemporal Data Mining 会议论文
2017 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY (CYBERC), 2017-01-01
作者:  Wang, LiHua;  Zhou, Zijun
收藏  |  浏览/下载:4/0  |  提交时间:2019/12/30


©版权所有 ©2017 CSpace - Powered by CSpace