A comprehensive review on magnetic imaging techniques for biomedical applications

A Mukhatov, TA Le, TT Pham, TD Do - Nano Select, 2023 - Wiley Online Library
This article presents a comprehensive review of current Magnetic Imaging Techniques (MIT),
specifically Magnetic Particle Imaging (MPI) and Magnetic Resonance Imaging (MRI) …

A novel thermography-based dry magnetic particle testing method

Y Chen, B Feng, Y Kang, BC Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Magnetic particle testing (MT) has been widely used in nondestructive testing (NDT) of
ferromagnetic materials. MT can be divided into wet method and dry method. The wet …

Lightweight neural network for gas identification based on semiconductor sensor

J Pan, A Yang, D Wang, J Chu, F Lei… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article proposes a lightweight network called multiscale convolutional neural network
with attention (MCNA), which combines a multiscale deep convolutional network with a self …

Airborne magnetic anomaly detection based on bi-stable stochastic resonance system

F Dai, J Chen, C Liu, Z Chen, D Peng - Measurement, 2024 - Elsevier
In order to address the problem with low signal-to-noise ratio (SNR) detection for airborne
magnetic anomaly detection (MAD), an adaptive detection method based on bi-stable …

Mobile system: detecting buried objects by magnetic anomaly method

S Gürkan, M Karapınar… - Journal of Applied Remote …, 2021 - spiedigitallibrary.org
A mobile system has been developed to be used to detect buried objects (and/or explosives)
containing ferromagnetic material by magnetic anomaly method. Detection, in this system …

Buried magnetic material detection system: an SVM algorithm application

H Gunes, S Bicakci, H Citak… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent times, studies about remote-sensing methods have focused on improving variables
like sensing distance, sensitivity, and power consumption of available remote-sensing …