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10th IDS 2024: New York, NY, USA
- 10th IEEE International Conference on Intelligent Data and Security, IDS 2024, NYC, NY, USA, May 10-12, 2024. IEEE 2024, ISBN 979-8-3503-8948-7
- Zongming Fei, Yu Huang, Lixin Tao:
Message from the Program Chairs; IDS 2024. viii - Chih-Yuan Chang:
Understanding How ChatGPT Memorizes Chinese Tang Poetry. 1-6 - Hao Ma, Senmao Qi, Jiayue Yao, Yuan Yuan, Yifei Zou, Dongxiao Yu:
Fed-NAD: Backdoor Resilient Federated Learning via Neural Attention Distillation. 7-13 - Zhixin Li, Rui Zhu, Zihao Wang, Jiale Li, Kaiyuan Liu, Yue Qin, Yongming Fan, Mingyu Gu, Zhihui Lu, Jie Wu, Hongfeng Chai, Xiaofeng Wang, Haixu Tang:
FairFix: Enhancing Fairness of Pre-Trained Deep Neural Networks with Scarce Data Resources. 14-20 - Chuang Wu, Tingqin He:
A Survey of Applications of Vision Transformer and its Variants. 21-25 - Jie Zhang, Weiqing Tong, Xiao-Yang Liu:
High-Performance Spectral Tensor Layer for Deep Neural Network. 26-31 - Gang Yuan, Xiumei Fan, Yusheng Huang, Xuesong Jia:
Research on Urban Traffic Flow Prediction Model Utilizing Heterogeneous Data Fusion. 32-36 - Jialei Zhang, Shubin Cai, Zhiwei Jiang, Jian Xiao, Zhong Ming:
FireRobBrain: Planning for a Firefighting Robot using Knowledge Graph and Large Language Model. 37-41 - Yihang Tao, Jun Wu, Qianqian Pan, Xiuzhen Chen:
Energy Harvesting Design for Cooperative Reconfigurable Intelligent Surface with Multi-Agent Deep Reinforcement Learning. 42-46 - Xueting Huang, Linshu Chen, Xiaoyan Chen, Mo Wang, Yuxin Liu:
Wireless Channel Estimation and Equalization Based on Deep Learning. 47-52 - Yaqiong Guo, Jingnan Chen, Zichao Xu:
Android Application Reinforcement Method Based on 5G Terminal Device. 53-58 - Hao Huang, Jing Zhang, Yongchun Pan, Haina Fang, Silei Yao, Changxuan Zeng:
Research on Machine Learning-Based Advanced Semantic Mapping Model for Substations and Security Alert Disposition. 59-64 - Shuyi Li, Fangming Jing, Chen Yang, Pengyu Zhang, Zeming Wang, Wenhui Hu:
Analysis of Elderly Care Services Based on Machine Learning and Factor Rotation Method. 65-69 - Fei Zhao, Hao Wang, Mian Chen, Bo Gao:
Detecting Harmful Vibrations in the Drilling Industry Through Time Series Classification. 70-74 - Xiaojun Shen, Chao Ji, Xiaohan Lai, Lei Zhao, Shouyi Jiang:
Energy-STGNN: A Dynamic Forecasting Approach For Energy Consumption Prediction. 75-79 - Gaojing Yuan, Linshu Chen, Jiahong Cai, Chaoyi Yang, Jingnian Liu:
A Comprehensive Overview of Object Detection Based on Deep Learning. 80-85 - Mingyu Xu, Jiayang Li:
Research on Machine Learning Based Analysis of Poverty Alleviation Households Returning to Poverty. 86-91
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