AIMC Topic: Dielectric Spectroscopy
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A FPGA based recurrent neural networks-based impedance spectroscopy system for detection of YAKE in tuna.
Scientific reports
Jul 1, 2025
This paper evaluates the use of impedance spectroscopy combined with artificial intelligence. Both technologies have been widely used in food classification and it is proposed a way to improve classifications using recurrent neural networks that trea...
Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection.
Scientific reports
Jun 3, 2025
Electrical impedance spectroscopy (EIS) is a powerful tool used to investigate the properties of materials and biological tissues. This study presents one of the first applications of EIS for the detection and classification of oral potentially malig...
Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning.
Scientific reports
Apr 30, 2025
Bacterial detection and classification are critical challenges in healthcare, environmental monitoring, and food safety, demanding selective and efficient methods. This study presents a novel, label-free approach for E. coli detection using ultrathin...
Machine learning allows robust classification of lung neoplasm tissue using an electronic biopsy through minimally-invasive electrical impedance spectroscopy.
Scientific reports
Mar 21, 2025
New bronchoscopy techniques like radial probe endobronchial ultrasound have been developed for real-time sampling characterization, but their use is still limited. This study aims to use classification algorithms with minimally invasive electrical im...
Detection of obstetric anal sphincter injuries using machine learning-assisted impedance spectroscopy: a prospective, comparative, multicentre clinical study.
Scientific reports
Mar 4, 2025
To evaluate the clinical performance and safety of the ONIRY system for obstetric anal sphincter injuries (OASI) detection versus three-dimensional endoanal ultrasound (EAUS). A prospective, comparative, multicentre, international study. Poland, Czec...
Dielectric spectroscopy technology combined with machine learning methods for nondestructive detection of protein content in fresh milk.
Journal of food science
Oct 11, 2024
To quickly achieve nondestructive detection of protein content in fresh milk, this study utilized a network analyzer and an open coaxial probe to analyze the dielectric spectra of milk samples at 100 frequency points within the 2-20 GHz range, focusi...
Deep-Learning-Guided Electrochemical Impedance Spectroscopy for Calibration-Free Pharmaceutical Moisture Content Monitoring.
ACS sensors
Aug 3, 2024
The moisture content of pharmaceutical powders can significantly impact the physical and chemical properties of drug formulations, solubility, flowability, and stability. However, current technologies for measuring moisture content in pharmaceutical ...
Integrating non-invasive VIS-NIR and bioimpedance spectroscopies for stress classification of sweet basil (Ocimum basilicum L.) with machine learning.
Biosensors & bioelectronics
Jul 17, 2024
Plant stress diagnosis is essential for efficient crop management and productivity increase. Under stress, plants undergo physiological and compositional changes. Vegetation indices obtained from leaf reflectance spectra and bioimpedance spectroscopy...
Electrochemical Impedance Spectroscopy-Based Sensing of Biofilms: A Comprehensive Review.
Biosensors
Jul 31, 2023
Biofilms are complex communities of microorganisms that can form on various surfaces, including medical devices, industrial equipment, and natural environments. The presence of biofilms can lead to a range of problems, including infections, reduced e...
Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning.
Sensors (Basel, Switzerland)
Jun 28, 2023
Individual cells have many unique properties that can be quantified to develop a holistic understanding of a population. This can include understanding population characteristics, identifying subpopulations, or elucidating outlier characteristics tha...
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