Complex Neural Networks for Earthquake Source and Magnitude EstimationView Project In this project, I proposed a novel approach for estimating epicentral distance, depth, and magnitude directly from individual raw 3-comp...
In this project, I proposed a novel approach for estimating epicentral distance, depth, and magnitude directly from individual raw 3-component seismograms of 1-minute length observed by single stations. The proposed convolutional neural network-based method is able to handle complex-valued representations of the seismic data in the time-frequency domain by using dedicated convolutional and activation functions. The validation experiments were conducted over a publicly available and large database, STanford EArthquake Dataset (STEAD). This is part of a research paper published at IEEE Geoscience and Remote Sensing Letters, a top-tier journal in the geoscience domain.
Python
Git
Signal Processing
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Python
Git
Signal Processing
Deep Learning
PyTorch
AI (artificial intelligence)
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Deep Learning Data Set Generator for Automotive Radar InterferenceView Project University Politehnica of Bucharest
2021
A data set generator for radar interference mitigation. This is a solution to the lack of publicly available data sets. I proposed a solu...
A data set generator for radar interference mitigation. This is a solution to the lack of publicly available data sets. I proposed a solution based on MATLAB and Python, which generates a custom number of data samples, which mimic real radar data. This project could be used to train deep learning models as well as classical algorithms. This is part of two research papers that were published at VTC-Fall 2020 and CVPR Workshop 2021.
Python
Signal Processing
Deep Learning
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Python
Signal Processing
Deep Learning
AI (artificial intelligence)
View more