A review of computational intelligence techniques in coral reef-related applications
Integrity signals
Registry
Cites
Statistics
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?
Review articles have identified ANN (especially ANFIS) and SVM as the major ML models used in water resource conservation.
“Review articles have identified ANN (especially ANFIS, a type of ANN-based on FL), and SVM as the major ML models used in this field (Salcedo-Sanz et al., 2016).”
From Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020) · cites this paper as Salcedo-Sanz et al., 2016
The citation lists haven’t been fetched yet
References 292 · Cited by 27
- Authors
- Salcedo-Sanz, S., Cuadra, L., & Vermeij, M. J. A.
- Affiliations
- Universidad de Alcalá (ES)
- Caribbean Research and Management of Biodiversity Foundation (CW)
- Venue
- Ecological Informatics
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 32
- Pages
- 107-123
- ISSN
- 1574-9541 (ISSN-L)
- OpenAlex
- W2264318106
- Cited by
- 27
- References
- 292
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 5 · 2020: 1 · 2017: 2 · 2016: 1
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ecological Informatics (publishedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Ecology › Coral and Marine Ecosystems Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- computational intelligence, coral reef dynamics, benthic ecosystems, bio-inspired optimization
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
