Abstract: The massive data generated by scientists daily serve as both a major catalyst for new discoveries and innovations, as well as a significant roadblock that restricts access to the data. Our ...
Abstract: Data quality is a fundamental challenge for downstream data mining tasks. While numerous studies have addressed data quality issues in various contexts, there is a notable lack of systematic ...
Frontend: Vue.js Dynamic Scripts: Groovy Monitoring: SSE (real-time push), MySQL (data storage) Backend: Spring Boot 3.2.8 (Note: Compatibility issues exist with 3.4 version!) DAO: mybatis-plus ...
Analytical scenarios highlight that (1) routine insider access creates numerous injection points across health care data infrastructure, (2) federated learning amplifies risks by obscuring attribution ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The forecasting skill of numerical weather prediction (NWP) models critically depends on the accurate initial conditions, also known as analysis, provided by data assimilation (DA). Traditional DA ...
Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...
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