A5043208205- Advanced Decision-Making Techniques
- Impact of AI and Big Data on Business and Society
- FinTech, Crowdfunding, Digital Finance
- Industrial Technology and Control Systems
- Evaluation and Optimization Models
- Advanced Data and IoT Technologies
- Semantic Web and Ontologies
- Complex Network Analysis Techniques
- Advanced Technologies in Various Fields
- Stock Market Forecasting Methods
- Advanced Computing and Algorithms
- Network Security and Intrusion Detection
- Blockchain Technology Applications and Security
- Advanced Graph Neural Networks
- Imbalanced Data Classification Techniques
- Rough Sets and Fuzzy Logic
- Regional Development and Environment
- Forecasting Techniques and Applications
- Advanced Computational Techniques and Applications
China Mobile (China)
2024-2025
Guangdong Polytechnic of Science and Technology
2022-2024
Intelligent forecasting of economic indexes has been an important demand for sustainable management smart cities. Existing methods this purpose were mostly established upon the basis mechanism. Econometric models are most general technical means in area. However, era digital economy, increasing amount big data brought great change to traditional production. It is becoming more difficult conventional technological deal with multi-dimensional indexes. To such challenge, paper introduces...
Financial fraud detection has been an urgent technical demand in cyberspace. It highly relies on clear extraction and deep representation toward complex relationships inside financial social networks. As consequence, this study combines both knowledge graph learning to deal with such issue. Thus, intelligent model based guidance neural network is proposed paper. First, a new financially related systems constructed, which includes multiple entities relationships. Then, adversarial...
With the rapid development of intelligent techniques, smart finance has become a hot topic in daily life. Currently, financial credit is facing increasing business volume, and it expected that investigating algorithms can help reduce human labors. In this area, prediction latent default behaviors deal with loan approval affairs, most important research topic. Machine learning-based methods have received much attention they achieve proper performance some scenarios. However, machine models...
In the era of big data, audit risk assessment is facing increasing business volume. Hence, it important to develop automatic methods for enterprises with assistance intelligent algorithms. As a consequence, this paper proposes data-driven smart enterprise risks-based radial basis function (RBF) neural networks and grey correlation analysis (GCA). First, evaluation data are collected analyzed understand characteristics influencing factors risks. Secondly, RBF interpolation introduced...
With the rapid development of Internet Things (IoT) technology and digital transformation financial industry, IoT is becoming an important trend in future field. In era IoT, a large amount data information recorded by sensors devices, which poses new challenges opportunities for user credit evaluation. this context, conventional deep learning-based evaluation methods often cannot meet privacy needs. The paper combines security ability federated learning with learning, proposes model under...