Smart water dam transformation in industry 4.0
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The use of digital twins for regulating and monitoring algal biomass cultivation in raceway pond environments is a new and innovative practice.
“The use of DTs for regulating and monitoring algal biomass cultivation in raceway pond environments is a new and innovative practice [3,6].”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [6]
Moving any digital model closer to accurately representing an actual process is a fundamental basis for creating digital twin models.
“Moving any digital model closer to accurately representing an actual process is a fundamental basis for creating DTM [6,24].”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [6]
Cited by
Sorted by citations
Sheik, A. G., Kumar, A., Patnaik, R., Kumari, S., & Bux, F. (2024) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2023.2252313 · Cited by 47 · see citing works
Sheik, A. G., Kumar, A., Ansari, F. A., Raj, V., Peleato, N. M., Patan, A. K., Kumari, S., & Bux, F. (2024) · Algal Research · doi:10.1016/j.algal.2024.103779 · Cited by 37 · see citing works
- Authors
- Sabapathipillai, G., Kuganesan, S., & Kuganesan, T.
- Corresponding author
- Sabapathipillai, Gowrishankar
- Venue
- Lecture Notes in Mechanical Engineering
- Publisher
- Springer International Publishing
- Published
- 2023
- Pages
- 118-129
- ISSN
- 2195-4356 (ISSN-L)
- 2195-4364
- OpenAlex
- W4320924035
- Cited by
- 2
- References
- 0
- Citations by year
- 2024: 1 · 2023: 1
- FWCI
- 1.84
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in mechanical engineering (publishedVersion)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Dam Engineering and Safety
- Physical Sciences › Engineering › Civil and Structural Engineering › Water Systems and Optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- Industry 4.0, dam maintenance, dam safety, dam gates, reservoir water quality, water quantity management, water pollution prevention, natural resource conservation, smart infrastructure
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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