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Mask R-CNN based droplet detection in liquid–liquid systems, Part 3: Model generalization for accurate processing performance independent of image quality

; ;

In
Chemical engineering research and design : CERD 202, Seiten/Artikel-Nr.:161-168

ImpressumAmsterdam : Elsevier

ISSN1744-3563

Received 31 August 2023, Revised 14 November 2023, Accepted 4 December 2023, Available online 21 December 2023

Online
DOI: 10.1016/j.cherd.2023.12.005


Einrichtungen

  1. Lehrstuhl für Fluidverfahrenstechnik (416310)


Thematische Einordnung (Klassifikation)
DDC: 333.7


Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85182426768
WOS Core Collection: WOS:001152297400001
OpenAlex: W4390064250

Interne Identnummern
RWTH-2024-01413
Datensatz-ID: 978960

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
416310
 Record created 2024-02-13, last modified 2026-08-31
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