no code implementations • 19 Apr 2024 • Danqing Ma, Meng Wang, Ao Xiang, Zongqing Qi, Qin Yang
This study proposes a multi-modal fusion framework Multitrans based on the Transformer architecture and self-attention mechanism.
no code implementations • 21 Mar 2024 • Shaojie Li, Xinqi Dong, Danqing Ma, Bo Dang, Hengyi Zang, Yulu Gong
First, for the massive data related to user evaluation provided by operators, key features are extracted by data preprocessing and feature engineering methods, and a multi-dimensional feature set with statistical significance is constructed; then, linear regression, decision tree, LightGBM, and other machine learning algorithms build multiple basic models to find the best basic model; finally, integrates Averaging, Voting, Blending, Stacking and other integrated algorithms to refine multiple fusion models, and finally establish the most suitable fusion model for operator user evaluation.
no code implementations • 20 Mar 2024 • Danqing Ma, Shaojie Li, Bo Dang, Hengyi Zang, Xinqi Dong
In addition, a FasterNet module is introduced to replace the c3 module in the YOLOv5 Backbone.
no code implementations • 13 Mar 2024 • Ao Xiang, Zongqing Qi, Han Wang, Qin Yang, Danqing Ma
This paper introduces a new multi-modal model based on the Transformer architecture and tensor product fusion strategy, combining BERT's text vectors and ViT's image vectors to classify students' psychological conditions, with an accuracy of 93. 65%.
no code implementations • 13 Mar 2024 • Zongqing Qi, Danqing Ma, Jingyu Xu, Ao Xiang, Hedi Qu
In recent years, there have been frequent incidents of foreign objects intruding into railway and Airport runways.
no code implementations • 31 Dec 2023 • Shun Liu, Kexin Wu, Chufeng Jiang, Bin Huang, Danqing Ma
In the realm of cryptocurrency, the prediction of Bitcoin prices has garnered substantial attention due to its potential impact on financial markets and investment strategies.