DBSCAN-PCA-INFORMER-Based Droplet Motion Time Prediction Model for Digital Microfluidic Systems

In recent years, emerging digital microfluidic technology has shown great application potential in fields such as biology and medicine due to its simple structure, sample-saving properties, ease of integration, and wide range of manipulation. Currently, due to potential faults in chips during produc...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Micromachines (Basel) Jg. 16; H. 5; S. 594
Hauptverfasser:	Luo, Zhijie, Zhao, Bin, Liu, Wenjin, Zheng, Jianhua, Chen, Wenwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 19.05.2025 MDPI
Schlagworte:	Accuracy Algorithms Analysis Clustering Control systems Correlation analysis DBSCAN-PCA-INFORMER model digital microfluidics Droplets Electrodes Energy consumption Failure times Forecasts and trends Injection molding Machine vision microdroplets Microfluidics Neighborhoods Neural networks Prediction models Principal components analysis Silicones time prediction Time series digital microfluidics microdroplets time prediction DBSCAN-PCA-INFORMER model
ISSN:	2072-666X, 2072-666X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!