Machine learning in concrete technology: A review of current researches, trends, and applications

Y Gamil - Frontiers in Built Environment, 2023 - frontiersin.org
Machine learning techniques have been used in different fields of concrete technology to
characterize the materials based on image processing techniques, develop the concrete mix …

MIMO-SAR interferometric measurements for wind turbine tower deformation monitoring

A Baumann-Ouyang, JA Butt, M Varga, A Wieser - Energies, 2023 - mdpi.com
Deformations affect the structural integrity of wind turbine towers. The health of such
structures is thus assessed by monitoring. The majority of sensors used for this purpose are …

Using light to image millimeter wave based on stacked meta-MEMS chip

H Wang, Z Wang, C Gong, X Li, T Cui, H Jiang… - Light: Science & …, 2025 - nature.com
A stacked metamaterial MEMS (meta-MEMS) chip is proposed, which can perfectly absorb
electromagnetic waves, convert them into mechanical energy, drive movement of the optical …

Pseudopolar format matrix description of near-range radar imaging and fractional fourier transform

L Zou, Y Li, AM Alani - Remote Sensing, 2024 - repository.uwl.ac.uk
Near-range radar imaging (NRRI) has evolved into a vital technology with diverse
applications spanning fields such as remote sensing, surveillance, medical imaging and non …

A Novel Multimodal Fusion Framework Based on Point Cloud Registration for Near-Field 3D SAR Perception

T Zeng, W Zhang, X Zhan, X Xu, Z Liu, B Wang… - Remote Sensing, 2024 - mdpi.com
This study introduces a pioneering multimodal fusion framework to enhance near-field 3D
Synthetic Aperture Radar (SAR) imaging, crucial for applications like radar cross-section …

Real-Time Synthetic Aperture Radar Imaging with Random Sampling Employing Scattered Power Mapping

R Kazemivala, NK Nikolova - Sensors, 2024 - mdpi.com
A novel image-reconstruction method is proposed for the processing of data acquired at
random spatial positions. The images are reconstructed and updated in real time …

GWO-Based Joint Optimization of Millimeter-Wave System and Multilayer Perceptron for Archaeological Application

J Marot, F Zidane, M El-Abed, J Lanteri, JY Dauvignac… - Sensors, 2024 - mdpi.com
Recently, low THz radar-based measurement and classification for archaeology emerged as
a new imaging modality. In this paper, we investigate the classification of pottery shards, a …

On the Impact of Nonuniform Phase Distributions across the Beamwidth and Bandwidth of Antennas for SAR Imaging

AF Berdasco, J Laviada, MEDC Gómez… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The synthetic aperture radar (SAR) imaging relies on the coherent sum of the received
signals. Consequently, phase shifts along the beamwidth and bandwidth of the antenna …

Cross-Domain Translation Learning Method Utilizing Autoencoder Pre-Training for Super-Resolution of Radar Sparse Sensor Arrays

JH Kim, IP Hong - IEEE Access, 2023 - ieeexplore.ieee.org
This study proposes a convolutional neural network based image translation framework to
faithfully realize the super-resolution of radar sensor sparse measurement. We exploited the …

A W-Band Power Efficient Frequency Doubler

B Biswas, MK Mandal - 2023 IEEE Microwaves, Antennas, and …, 2023 - ieeexplore.ieee.org
A frequency doubler is reported in a hybrid Microwave Integrated Circuit (MIC) configuration
using a Schottky diode based design at the W-band. Unwanted harmonic reuse scheme has …