A5003528649- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Advanced Algorithms and Applications
- Advanced Computational Techniques and Applications
- Advanced Decision-Making Techniques
- RNA modifications and cancer
- Vehicle emissions and performance
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Traffic Prediction and Management Techniques
- Recommender Systems and Techniques
- Glycosylation and Glycoproteins Research
- Evaluation Methods in Various Fields
- Monoclonal and Polyclonal Antibodies Research
- Carbohydrate Chemistry and Synthesis
- Transportation Planning and Optimization
- Epigenetics and DNA Methylation
Zhengzhou University of Light Industry
2021
Emory University
2019
Hainan Meteorology Administration
2009
Inspired by scaling laws and large language models, research on large-scale recommendation models has gained significant attention. Recent advancements have shown that expanding sequential to can be an effective strategy. Current state-of-the-art primarily use self-attention mechanisms for explicit feature interactions among items, while implicit are managed through Feed-Forward Networks (FFNs). However, these often inadequately integrate temporal positional information, either adding them...
Interactions of glycans with proteins, cells, and microorganisms play important roles in cell–cell adhesion host–pathogen interaction. Glycan microarray technology, which multiple glycan structures are immobilized on a single glass slide interrogated glycan-binding proteins (GBPs), has become an indispensable tool the study protein–glycan interactions. Despite its great success, current format requires expensive, specialized instrumentation labor-intensive assay image processing procedures,...
Effective activation functions introduce non-linear transformations, providing neural networks with stronger fitting capa-bilities, which help them better adapt to real data distributions. Huawei Noah's Lab believes that dynamic are more suitable than static for enhancing the capabilities of networks. Tsinghua University's related research also suggests using dynamically adjusted functions. Building on ideas fine-tuned from University and Lab, we propose a series-based learnable ac-tivation...
DNA N4-methylcytosine(4mC) plays an important role in numerous biological functions and is a mechanism of particular epigenetic importance. Therefore, accurate identification the 4mC sites sequences necessary to understand functional mechanism. Although some effective calculation tools have been proposed identifying sites, it still challenging improve accuracy generalization ability. there great need build computational tool accurately identify position sites. Hence, this study novel...
Taking the flood season (from May to October) precipitation in Hainan province as forecast object, application of fuzzy neural networks forecasting method with different factors is studied. The results show that new model based on principal component analysis significantly superior traditional stepwise regression and other models which select prediction accuracy stability. It can be applied operational short-term climate forecast.