GMM-based symbol error rate analysis for multicarrier systems with impulsive noise suppression

N Rozic, P Banelli, D Begusic… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Theoretical analysis of orthogonal frequency division multiplexing (OFDM) systems,
equipped at the receiver by a non-linear impulsive noise suppressor, is very challenging …

Enhancing transformer health index prediction using dissolved gas analysis data through integration of LightGBM and robust EM algorithms

AS Mogos, X Liang, CY Chung - IEEE Access, 2024 - ieeexplore.ieee.org
The dissolved gas analysis (DGA) data play a crucial role in evaluating the transformer
health index (HI). In recent years, data-driven approaches have attracted significant …

An asynchronous distributed expectation maximization algorithm for massive data: the DEM algorithm

S Srivastava, G DePalma, C Liu - Journal of Computational and …, 2019 - Taylor & Francis
The family of expectation--maximization (EM) algorithms provides a general approach to
fitting flexible models for large and complex data. The expectation (E) step of EM-type …

Model selection in biological networks using a graphical EM algorithm

HB Hassen, K Masmoudi, A Masmoudi - Neurocomputing, 2019 - Elsevier
The analysis of biological networks is an important task in life sciences. Most of biological
interactions can be modeled using graphical networks where arcs represent probabilistic …

Hybrid Vessel Extraction Method Based on Tight-Frame and EM Algorithms by Using 2D Dual Tree Complex Wavelet

F Abdollahi, M Lakestani, M Razzaghi - Informatica, 2021 - content.iospress.com
The vessel extraction is very important for the vascular disease diagnosis and grading of the
stenoses and aneurysms in vessels. This aids in brain surgery and making angioplasty. The …

Customer segmentation and enrichment using expectation maximization algorithm

N Kumar - 2020 - essay.utwente.nl
Targeting customers based on their interest in order to show personalised advertisements
helps companies to improve their revenue. In the retail setting, for showing personalised …