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FractalFormer for Image-Based estimation of Reactive Blue 21 in water | Synapse
March 3, 2026
FractalFormer for Image-Based estimation of Reactive Blue 21 in water
BD
Barbaros Durmus
ND
Neslihan Durmus
SD
Sengul Dogan
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Key Points
Reactive blue 21 levels were effectively estimated using advanced image-based algorithms.
The study demonstrated a significant detection capability of over 90% accuracy in a controlled environment.
The approach utilized fractalformer algorithms to analyze water samples and quantify dye concentrations.
Effective monitoring of reactive blue 21 supports environmental health initiatives and regulatory compliance.
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Durmus et al. (Tue,) studied this question.
synapsesocial.com/papers/69a76186c6e9836116a2f89a
https://doi.org/https://doi.org/10.1016/j.ces.2026.123603
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