Possibilities of Real Time Monitoring of Micropollutants in Wastewater Using Laser-Induced Raman &amp; Fluorescence Spectroscopy (LIRFS) and Artificial Intelligence (AI)

Post, Claudia; Reinartz, André; Bruelisauer, Simon; Amann, Florian; Hug, William; Förderer, Aaron Daniel; Linnemann, Volker; Heyden, Niklas

doi:10.18154/RWTH-2023-01231

Possibilities of Real Time Monitoring of Micropollutants in Wastewater Using Laser-Induced Raman & Fluorescence Spectroscopy (LIRFS) and Artificial Intelligence (AI)

Post, Claudia (Corresponding author)^RWTH* ; Heyden, Niklas (Corresponding author)^RWTH* ; Reinartz, André^RWTH* ; Förderer, Aaron Daniel^RWTH* ; Bruelisauer, Simon ; Linnemann, Volker^RWTH* ; Hug, William ; Amann, Florian^RWTH*

In
Special Issue "Application of Wireless Sensor Networks in Environmental Monitoring" / Special Issue Editor: Dr. Michalis Michaelides, Guest Editor

In
Sensors 22(13), Seiten/Artikel-Nr.:4668

2022

ImpressumBasel : MDPI

Umfang[1]-30

ISSN1424-8220

Online
DOI: 10.3390/s22134668
10.3390/s22134668
DOI: 10.18154/RWTH-2023-01231
URL: https://publications.rwth-aachen.de/record/918285/files/918285.pdf

Einrichtungen

Thematische Einordnung (Klassifikation)
DDC: 620

OpenAccess:
PDF

Dokumenttyp
Journal Article/Contribution to a book

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85132292233
WOS Core Collection: WOS:000823920700001
PubMed: pmid:35808163

Interne Identnummern
RWTH-2023-01231
Datensatz-ID: 918285

Beteiligte Länder
Germany, Switzerland, USA

Lizenzstatus der Zeitschrift

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