A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Research is the backbone of society's progress. Without it, there would be no new drugs, tech, etc. Basically, every trace of human progress could grind to a halt. However, research is only as good as ...

Neutrosophic statistics represents a significant evolution in data analysis, extending classical statistical methods to account for uncertainty, imprecision and indeterminacy inherent in real-world ...

A program that focuses on the general study of human social behavior and social institutions using any of the methodologies common to the social sciences and/or history, or an undifferentiated program ...

Copula models have emerged as a pivotal tool in modern statistical analysis by enabling researchers to disentangle marginal behaviours from their joint dependency structures. This flexibility is ...

As data becomes increasingly available in the fields of engineering and applied sciences, there is a greater need for advanced analysis methods in order to identify ties between problems, phenomena ...

This PhD programme offers the chance to undertake a substantial piece of work that is worthy of publication and which makes an original contribution to the field of methodology or which applies ...