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ICDLT 2024: Suzhou, China
- Proceedings of the 2024 8th International Conference on Deep Learning Technologies, ICDLT 2024, Suzhou, China, July 15-17, 2024. ACM 2024, ISBN 979-8-4007-1686-7
- Hao Zhang, Yan Fang, Xiaodong Liu:
A Deep Reinforcement Learning Model for Portfolio Management Incorporating Historical Stock Prices and Risk Information. 1-8 - Jiapeng Dai, Bin Hou, Lingjie Wu, Yunxiao Zu:
An Intelligent Penetration Path Algorithm Based on Deep Reinforcement Learning. 9-14 - Dingyi Zhang, Le Chen, Linhui Zhang:
UrbanMC: Masking and Contrastive Self-Supervision For Fine-Grained Urban Flows Inference. 15-21 - Ayush Sharma, Dongping Guo, Arsh Parmar, Jianye Ge, Hongmin Li:
Promoting Sign Language Awareness: A Deep Learning Web Application for Sign Language Recognition. 22-28 - Haoran Yang, Yunyu Wang, Zongqiang Xia, Xiu Guo, Yuxuan Li, Ange Lucrecia Malamba Onanga, Mingtao Liu, Xin Zhang:
LPRNet Improvement for License Plate Recognition in Complex Environments. 29-33 - Yiqiong Xue, Xiaodong Liu:
An Approach for Stock Modeling and Prediction Using Latency-based HMM and Bayesian Network. 34-41 - Lucas Payne, Mengjun Xie:
Log File Anomaly Detection Using Knowledge Graph Completion. 42-48 - Dang Huu Trong Ho, Thi Thanh Sann:
Self-Attentive Sequential Recommendation Models Enriched with More Features. 49-55 - K. M. Gwak, Zhen Yang, Young J. Rho:
An Online Education Platform for Fuel Cell: Enhancing Understanding through Simulation and Virtual Reality. 56-61 - Shuang Wu, Qi Lang, Xiaodong Liu:
Futures Price Prediction Based on Multi-Feature Fusion Model. 62-69
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