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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Energy Optimization in Ultrasound Tomography Through Sensor Reduction Supported by Machine Learning Algorithms
1. Introduction Ultrasound tomography, by definition, is based on the analysis of sound wave propagation to identify the structure of investigated objects. Wave propagation is affected by many factors, including wave interference and absorption, making analysis a complex issue. Such analysis has a wide range of applications, mainly in medicine, nondestructive testing, or industrial tomography.
Ultrasound tomography enhancement by signal feature extraction with modular machine learning method
Loading metrics Open Access Peer-reviewed Research Article Citation: Baran B, Majerek D, Szyszka P, Wójcik D, Rymarczyk T (2024) Ultrasound tomography enhancement by signal feature extraction with modular machine learning method. PLoS ONE 19(1): e0297496.
Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking
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