Results 131 to 140 of about 2,457,520 (174)

Visual Quantitative Characterization of External Corrosion in 3LPE Coated Pipes Based on Microwave Near-Field Reflectometry and Phase Unwrapping. [PDF]

Sensors (Basel)
Li W.
europepmc   +1 more source

Interventional Radiology in the Management of Primary Liver Malignancies. [PDF]

Cancers (Basel)
Hegde K, Arellano R, Iqbal S.
europepmc   +1 more source

Data-driven superresolution imaging in disordered media. [PDF]

Proc Natl Acad Sci U S A
Christie A, Leibovich M, Moscoso M, Novikov A, Papanicolaou G, Tsogka C.   +5 more
europepmc   +1 more source

AI-Enabled Shrinkage Analysis and Morphology Control in Food Processing: Mechanisms, Multimodal Perception, Modeling, and Intelligent Regulation. [PDF]

Compr Rev Food Sci Food Saf
Sun Q, Feng K, Shao B, Wang X, Tao H, Gao S, Wang X, Shi J, Zou X.   +8 more
europepmc   +1 more source

Chainmail-inspired conformable and switchable microwave metamaterial absorber. [PDF]

Nat Commun
Tan R, Zhou J, Chen P.
europepmc   +1 more source

Closing the Loop: High-Precision 3D Photofabrication in Living Tissues. [PDF]

Adv Sci (Weinh)
Zeynali A, Malinauskas M, Chirico G.
europepmc   +1 more source

Microwave Sparse Imaging Applied to Stroke Monitoring

2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2021
We study the application of differential microwave sparse imaging in brain diagnostics. In particular, we describe the estimation stroke change between the consecutive measurements using l1 regularization. The method is verified using a realistic anthropomorphic human phantom.
Tushar Singh, Marija Nikolić, Branko M Kolundžija   +2 more
exaly   +4 more sources

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Sparse microwave imaging: Principles and applications

Science China Information Sciences, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wen Hong, Bingchen Zhang, Yirong Wu
exaly   +2 more sources

Study on sparse microwave imaging

Proceedings of 2011 IEEE CIE International Conference on Radar, 2011
Sparse signal processing is introduced to microwave imaging technology, which forms a new theory, new system and new methodology in microwave imaging. Defined as sparse microwave imaging, it means that by the sparse domain representation of the observed object, the sparse microwave signal is acquired by sparse sampling in space or time domain.
Yirong Wu
exaly   +2 more sources

Three-Dimensional Sparse Turntable Microwave Imaging Based on Compressive Sensing

IEEE Geoscience and Remote Sensing Letters, 2015
In this letter, we propose a fast reconstruction algorithm for 3-D turntable microwave imaging from sparse measurements. A conventional Fourier-transform-based 3-D microwave imaging method collects data over densely azimuth–elevation samples and needs a large amount of data storage and long collection time.
Wei Qiu
exaly   +2 more sources