ArticlePolymers2022
Evaluation of the Strength of Slab-Column Connections with FRPs Using Machine Learning Algorithms.
Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Evolution of the Fatigue Failure Prediction Process from Experiment to Artificial Intelligence: A Review.Materials (Basel, Switzerland) · 2025Review
- Assessment of compressive strength of eco-concrete reinforced using machine learning tools.Scientific reports · 2025Article
- Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams.Scientific reports · 2023Article
- Prediction of the Mechanical Properties of Basalt Fiber Reinforced High-Performance Concrete Using Machine Learning Techniques.Materials (Basel, Switzerland) · 2022Article
- Comparative Study on the Behavior of Reinforced Concrete Beam Retrofitted with CFRP Strengthening Techniques.Polymers · 2022Article
- Flexural Strength Prediction of Steel Fiber-Reinforced Concrete Using Artificial Intelligence.Materials (Basel, Switzerland) · 2022Article
- Compressive Strength of Steel Fiber-Reinforced Concrete Employing Supervised Machine Learning Techniques.Materials (Basel, Switzerland) · 2022Article
- A Machine Learning Model for Torsion Strength of Externally Bonded FRP-Reinforced Concrete Beams.Polymers · 2022Article
- Punching Shear Strength of FRP-Reinforced Concrete Slabs without Shear Reinforcements: A Reliability Assessment.Polymers · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Slab-column connections with FRPs fail suddenly without warning. Machine learning (ML) models can model the behavior with high precision and reliability. Nineteen ML algorithms were examined and compared. The comparisons showed that the ensembled boosted tree model showed the best, most precise prediction with the highest coefficient of determination (R
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.