A Polarization-Insensitive MXene–Graphene Hybrid Metasurface for High-Sensitivity Terahertz Cervical Cancer Detection and Machine Learning-Based Response Prediction
- 27 August 2026
- journal article
- research article
- Published by Springer Nature in Sensing and Imaging
- Vol. 27 (1) , 166
Abstract
No abstract availableKeywords
This publication has 36 references indexed in Scilit:
- Computational modeling and machine learning–assisted optimization of a TaSe2/Si/Ag multilayer SPR biosensor for high-sensitivity cancer biomarker screening and detectionJournal of Computational Electronics, 2026
- Terahertz metamaterial sensors for food safety and environmental monitoring: designs, mechanisms, and performance optimizationJournal of Materials Science, 2026
- Intelligent graphene–silver–gold terahertz metasurface biosensor for glucose and colorectal cancer screening and early detection using 1D-CNN-enhanced modelingMicrosystem Technologies, 2026
- Hybrid MXene–Graphene Terahertz Metasurface with Copper-Assisted Plasmonic Confinement for Broadband, Ultra-Sensitive Salinity Sensing Using Machine LearningSensing and Imaging, 2026
- Graphene–Copper Hybrid Terahertz Biosensor with KNN Sensitivity Optimization for Early Skin Cancer (Melanoma) DetectionSensing and Imaging, 2026
- High-Performance Dual-Mode Terahertz Biosensor for Cancer Detection via Graphene Modulation and Machine Learning IntegrationSensing and Imaging, 2025
- MXene-BP-graphene metasurface terahertz biosensor for high-sensitivity detection of carcinoembryonic antigen and malaria histidine-rich protein IIMicrosystem Technologies, 2025
- Plasmonic sensor design: Cu-SiO₂-Ni-black phosphorus for enhanced surface plasmon resonance in visible regimeMicrochimica Acta, 2025
- Skin cancer detection using ensemble of machine learning and deep learning techniquesMultimedia Tools and Applications, 2023
- Twin core photonic crystal fiber based temperature sensor with improved sensitivity over a wide range of temperatureOptical and Quantum Electronics, 2022