Technical Background and Innovation The emergence of the 'Lingji Smart City' large model relies on nearly a century of accumulated engineering drawing data from the Chongqing Design Institute, ...

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 ...

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 ...

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.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

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 ...