Outlier detection in non-stationary time series applied to sewer network monitoring
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Ontology support is presently being used in a very small number of commercial systems.
“These issues help articulate why ontology support is presently being used in a very small number of commercial systems [42 -44].”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [43]
The comprehensive RF-based analysis demonstrated that hydro-meteorological factors had a [greater impact] compared to nutrients.
“The comprehensive RF-based analysis demonstrated that hydro-meteorological factors had a”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [43]
The RF models showcased strong and precise predictions for both phytoplankton biomass and community composition.
“The RF models showcased strong and precise predictions for both phytoplankton biomass and community composition.”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [43]
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References 31 · Cited by 6
- Authors
- Shakil, A., Khalighi, M. A., Pudlo, P., Leclerc, C., Laplace, D., Hamon, F., & Boudonne, A.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Institut de Mathématiques de Marseille (FR)
- Suez (France) (FR)
- Corresponding author
- Khalighi, Mohammad Ali
- Venue
- Internet of Things
- Publisher
- Elsevier BV
- Published
- 2023-04
- Volume
- 21
- Pages
- 100654
- ISSN
- 2542-6605 (ISSN-L)
- OpenAlex
- W4312055188
- Cited by
- 6
- References
- 31
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 1
- FWCI
- 0.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 262 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Internet of Things (acceptedVersion)
- HAL AMU (submittedVersion, other-oa)
- Funders
- Association Nationale de la Recherche et de la Technologie (2020/0274)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Anomaly Detection Techniques and Applications
- Physical Sciences › Engineering › Civil and Structural Engineering › Water Systems and Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Keywords
- outlier detection, non-stationary time series, waste accumulation, data cleaning, peak detection, false detection probability, detection threshold, sensor noise
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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