Statistical process monitoring (SPM) methods are essential tools in quality management to assess the stability of industrial processes, that is, to dynamically classify the process state as in control

DataCite Commons2026-05-21 更新60

Certainty-based Active Learning algorithm in a stream-based scenario.

流式机器学习

优化算法

Certainty-based Active Learning algorithm in a stream-based scenario.

NIAID Data Ecosystem30

Flow Cytometric Single-Cell Identification of Populations in Synthetic Bacterial Communities

微生物群落

流式机器学习

Bacterial cells can be characterized in terms of their cell properties using flow cytometry. Flow cytometry is able to deliver multiparametric measurements of up to 50,000 cells per second. However, t

NIAID Data Ecosystem70

Semi-Supervised Active Learning in a stream-based scenario.

流式机器学习

监督学习

Semi-Supervised Active Learning in a stream-based scenario.

NIAID Data Ecosystem40