A5102689712- Digital Media Forensic Detection
- Cell Image Analysis Techniques
- Analog and Mixed-Signal Circuit Design
- Neural and Behavioral Psychology Studies
- Intelligent Tutoring Systems and Adaptive Learning
- Neuroscience, Education and Cognitive Function
- Fractional Differential Equations Solutions
- Model Reduction and Neural Networks
- Image Processing and 3D Reconstruction
- COVID-19 epidemiological studies
- Biometric Identification and Security
- Engineering and Test Systems
- Visual and Cognitive Learning Processes
- ECG Monitoring and Analysis
Lund University
2024-2025
University of Chinese Academy of Sciences
2024
Chinese Academy of Sciences
2024
Northeast Normal University
2024
Hainan Normal University
2024
Institute of Microelectronics
2024
The sparse identification of nonlinear dynamics (SINDy) algorithm enables us to discover dynamical systems purely from data but is noise-sensitive, especially in low-data scenarios. In this work, we introduce an advanced method that integrates group sparsity thresholds with Earth Mover's distance-based similarity measures order enhance the robustness identifying and learn functions governed by parametric ordinary differential equations. This novel approach, which call SINDy (GS-SINDy), not...
This study examines the impact of response and semantic inhibition on scientific reasoning using fNIRS data from 30 students (15 male, 15 female). Utilizing Go/Nogo Stroop-like tasks within a modified speeded-reasoning task, it was found that significantly influences reasoning. Specifically, slower responses lower accuracy incongruent statements were linked to increased activity in bilateral dorsolateral prefrontal cortex (DLPFC) pre-supplementary motor area (pre-SMA). The research shows...
With the development of artificial intelligence (AI), large language models (LLM) are widely used in many fields. However, reasoning ability LLM is still very limited when it comes to mathematical reasoning. Mathematics plays an important role all aspects human society and a technical guarantee fields healthcare, transport aerospace, for this reason, AI big field mathematics has great potential significance. To improve models, we proposed agent framework learning solve problems based on...