Frontier Technology Exploration of Multi-source Data Fusion:Current Status and Challenges
In the context of an era driven by data intelligence,the breadth and depth of cutting-edge technology detection based on a single data source cannot meet the demands of relevant applications.This article reviews the current state of development in the field of cutting-edge technology detection,analyzes the process of achieving such detection through multi-source data fusion,summarizes the challenges faced at each stage,and proposes directions for future development.The research finds that the foresight and reliability considerations of data sources prior to fusion,the weight distribution of data sources during the fusion process,and the refinement and accuracy enhancement of detection granularity after fusion are key issues that urgently need to be addressed in the current context of multi-source data fusion for cutting-edge technology detection.These issues also represent important directions for future research.
Frontier TechnologyMultiple Data SourcesData FusionFrontier Technology Detection
万方数据
维普
