Detection of water pollutants with a nonuniform array of microwave sensors
Detection of pollutants in water is conventionally performed in wet chemistry labs for
samples that are collected manually. This task is time-consuming, costly, and difficult to …
samples that are collected manually. This task is time-consuming, costly, and difficult to …
[HTML][HTML] Machine learning and data augmentation methods for multispectral capacitance images of nanoparticles with nanoelectrodes array biosensors
A large number of technology applications still remain where Artificial Intelligence
techniques, carefully tailored to the specific application needs, could provide performance …
techniques, carefully tailored to the specific application needs, could provide performance …
Towards Continuous Nano-Plastic Monitoring in Water by High Frequency Impedance Measurement with Nano-Electrode Arrays
We explore the potentiality of high frequency impedance measurements with CMOS nano-
electrode (NE) arrays for nano-plastic pollutant particles monitoring in water. This …
electrode (NE) arrays for nano-plastic pollutant particles monitoring in water. This …
Polarization-based gigahertz near-field bio-sample detector prepared by integrated-passive-device fabrication
JK Wu, Y Ji, JG Liang, Y Chen, C Wang, C Qian… - IEEE …, 2023 - ieeexplore.ieee.org
Far-field detection has been widely used in biomedical diagnosis, security inspection, such
as MRI, ultrasonic, SPECT, X-ray, etc. However, the near-field detection has yet to be well …
as MRI, ultrasonic, SPECT, X-ray, etc. However, the near-field detection has yet to be well …
Deep Learning-Based Prediction of PPB-Level Metal Ions in Drinking Water with Explainable AI
S Yu - 2022 - search.proquest.com
In the research on detecting different ppb-level metal ions in drinking water in multiple areas.
Through the block loop gap resonator (BLGR), this kind of metal ion sensor can continuously …
Through the block loop gap resonator (BLGR), this kind of metal ion sensor can continuously …
[PDF][PDF] Machine Learning Models for Prediction of Metal Ion Concentrations in Drinking Water
We present an investigation of several machine learning (ML) models developed to predict
the copper (Cu) and lead (Pb) ion concentrations in drinking water. The system where this …
the copper (Cu) and lead (Pb) ion concentrations in drinking water. The system where this …