In high-dimensional data analysis, we propose a sequential model averaging (SMA) method to make accurate and stable predictions. Specifically, we introduce a hybrid approach that combines a sequential ...

Conclusively, Multi-Dimensional Modeling plays a crucial role in empowering decision-making and driving process improvements in enterprise data management. By providing a comprehensive view of data ...

New technologies are permitting larger scale and more quantitative studies of signalling networks. The large data sets that are obtained from these studies can be analysed by data-driven modelling ...

Computer model of human metabolic processes What is unique about the new computer model, however, is the integrated three-dimensional structural data of proteins and metabolites.

This model could be considered a four-dimensional model. You could choose to visualize this data in a table, or you could try to represent it as a picture. To get there, you would have to use vectors.

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

David E. Foster, An Overview of Zero-Dimensional Thermodynamic Models for IC Engine Data Analysis, SAE Transactions, Vol. 94, Section 7: FUELS AND LUBRICANTS (1985), pp. 436-449 ...