- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Anomaly Detection Techniques and Applications
- Flood Risk Assessment and Management
- Seismology and Earthquake Studies
- Machine Learning in Bioinformatics
Beijing University of Chemical Technology
2024
The University of Texas at San Antonio
2018
Data heterogeneity can pose a great challenge to process and systematically fuse low-level data from different modalities with no recourse heuristics manual adjustments refinements. In this paper, new methodology is introduced for the fusion of measured detecting predicting weather-driven natural hazards. The proposed research introduces robust theoretical algorithmic framework heterogeneous in near real time. We establish flexible information-based target optimality criterion choice, which...
Abstract Deriving protein function from sequences poses a significant challenge due to the intricate relationship between sequence and function. Deep learning has made remarkable strides in predicting sequence-function relationships. However, models tailored for specific tasks or types encounter difficulties when using transfer across domains. This is attributed fact that relies heavily on structural characteristics rather than mere information. Consequently, there pressing need model...