Ultrasound tomography enhancement by signal feature extraction with modular machine learning method - Dataset

This dataset was prepared as part of the development work of industrial tomography. The goal of the project was to develop a robust and reliable method for detecting objects using ultrasonic tomography. The key idea was to analyze the time-dependent ultrasonic signals recorded by three independent transducers of an experimental system with an emphasis on finding common or related features of these signals using custom deep neural network models.