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Sensor de metamaterial multibanda mejorado por aprendizaje automático para la detección temprana de trastornos
Asad Miah1, Sams Al Zafir2, Joyonta Das2
1Mymensingh Engineering College, Electrical and Electronic Engineering, Mymensingh, 2200, Bangladesh. asad.mec.eee@gmail.com.
Scientific reports
|February 6, 2026
Resumen
Este estudio presenta un absorbedor de metamaterial compacto para la detección de afecciones neurológicas tempranas. Ofrece alta absorción y excelente sensibilidad en múltiples frecuencias, allanando el camino para diagnósticos médicos avanzados.
Sus antecedentes:
- Las afecciones neurológicas requieren métodos de detección sensibles y tempranos.
- Los metamateriales ofrecen propiedades electromagnéticas únicas para aplicaciones de detección.
Conclusiones:
- El absorbedor de metamaterial propuesto muestra un rendimiento superior para la detección de trastornos neurológicos.
- Su alta sensibilidad y fiabilidad lo hacen adecuado para el diagnóstico en etapa temprana.
- La integración del aprendizaje automático mejora la eficiencia del diseño y las capacidades predictivas.
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