Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data

Ferran Plana Rius; Mark P. Philipsen; Josep Maria Mirats Tur; Thomas B. Moeslund; Cecilio Angulo Bahón; Marc Casas

doi:10.3390/w14030333

Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data

Ferran Plana Rius^*, Mark P. Philipsen, Josep Maria Mirats Tur, Thomas B. Moeslund, Cecilio Angulo Bahón, Marc Casas

^*Kontaktforfatter

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Originalsprog	Engelsk
Artikelnummer	333
Tidsskrift	Water (Switzerland)
Vol/bind	14
Udgave nummer	3
ISSN	2073-4441
DOI	https://doi.org/10.3390/w14030333
Status	Udgivet - 1 feb. 2022

Bibliografisk note

Funding Information:
Acknowledgments: This research was supported by INLOC Robotics SL, Aalborg University (AAU) and Universitat Politecnica de Catalunya (UPC) under the umbrella of the danish Automated Sewer Inspection Robot (ASIR) project. We thank all members of the ASIR project for the insight and expertise provided that greatly assisted the research, especially our colleagues from AAU. We thank Mark P. Philipsen from AAU for assistance throughout the research development, and Thomas B. Moeslund from AAU for comments that greatly improved the manuscript. We would also like to show our gratitude to Josep Mirats Mirats Tur INLOC Robotics CTO for sharing their pearls of wisdom with us during the course of this research. We would also like to thank Cecilio Angulo from IDEAI-UPC for his advice and supervision during the research. Finally, thanks to Marc Casas we were able to access servers with powerful GPUs, where the experiments were conducted.

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

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@article{65dbf42a774e45d2906a47e7bd52a17d,

title = "Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data",

keywords = "Autoencoders and latent space, Data distribution, Self-supervised, Semi-supervised, Sparse data, Supervised, Water",

author = "Rius, {Ferran Plana} and Philipsen, {Mark P.} and Tur, {Josep Maria Mirats} and Moeslund, {Thomas B.} and Bah{\'o}n, {Cecilio Angulo} and Marc Casas",

note = "Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

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T1 - Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data

AU - Rius, Ferran Plana

AU - Philipsen, Mark P.

AU - Tur, Josep Maria Mirats

AU - Moeslund, Thomas B.

AU - Bahón, Cecilio Angulo

AU - Casas, Marc

PY - 2022/2/1

Y1 - 2022/2/1

KW - Autoencoders and latent space

KW - Data distribution

KW - Self-supervised

KW - Semi-supervised

KW - Sparse data

KW - Supervised

KW - Water

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U2 - 10.3390/w14030333

DO - 10.3390/w14030333

M3 - Journal article

AN - SCOPUS:85123710424

VL - 14

JO - Water

JF - Water

SN - 2073-4441

IS - 3

M1 - 333

ER -

Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data

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