Detection of water pollutants with a nonuniform array of microwave sensors

RK Amineh, M Ravan, D Tandel - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] Machine learning and data augmentation methods for multispectral capacitance images of nanoparticles with nanoelectrodes array biosensors

F Lombardo, F Pittino, D Goldoni, L Selmi - Engineering Applications of …, 2024 - Elsevier
A large number of technology applications still remain where Artificial Intelligence
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

D Goldoni, L Rovati, L Selmi - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
We explore the potentiality of high frequency impedance measurements with CMOS nano-
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 …

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 …

[PDF][PDF] Machine Learning Models for Prediction of Metal Ion Concentrations in Drinking Water

NS Shekhawat, S Oh, C Ababei, CH Lee, DH Ye - dejazzer.com
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 …