Dr. Messinger received a Bachelors degree in Physics from Clarkson University and a Ph.D. in Physics from Rensselaer Polytechnic Institute. He has worked as an Analyst for XonTech Inc., on the ...

Additionally, we revisit the existing literature in alignment with this novel framework, highlighting gaps and challenges, and outlining promising directions for future research. The proposed ...

"Awesome DL-Based MRI Reconstruction" is a comprehensive, curated repository featuring resources, tools, and research papers focused on leveraging deep learning and compressed sensing to accelerate ...

Out of curiosity, I bought a strain gauge sensor module after it appeared on sale. This write-up is fuzzy, since I decided to write based on a quick inspection of it. Have fun reading my little post ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Intelligent composite materials could change their performance ...

This article presents a holographic metasurface antenna with stochastically distributed surface impedance, which produces randomly frequency-diverse radiation patterns. Low mutual coherence electric ...

Temperature reflects the balance between production and dissipate of heat. Flexible temperature sensors are primary sensors used for temperature monitoring. To obtain real-time and accurate ...

State Key Laboratory of Organic−Inorganic Composites, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, P. R. China Oil and Gas Technology ...

Modern data analysis requires solving hard optimization problems with a large number of parameters and a large number of constraints. A successful approach is to replace these hard problems by ...

Abstract: The aim of this tutorial paper is to introduce the compressed sensing/sparse recovery theory and its usefulness in practical electromagnetic problems. Examples allow an intuitive ...