Results 61 to 70 of about 297,382 (270)

Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin

Sensors, 2021
In high-voltage (HV) insulation, electrical trees are an important degradation phenomenon strongly linked to partial discharge (PD) activity. Their initiation and development have attracted the attention of the research community and better understanding
Abdullahi Abubakar Mas’ud, Arunachalam Sundaram, Jorge Alfredo Ardila-Rey, Roger Schurch, Firdaus Muhammad-Sukki, Nurul Aini Bani   +5 more
doaj   +1 more source

Classifying Exoplanets with Gaussian Mixture Model [PDF]

The Open Journal of Astrophysics, 2018
Recently, Odrzywolek and Rafelski (arXiv:1612.03556) have found three distinct categories of exoplanets, when they are classified based on density. We first carry out a similar classification of exoplanets according to their density using the Gaussian Mixture Model, followed by information theoretic criterion (AIC and BIC) to determine the optimum ...
Soham Kulkarni, Shantanu Desai
openaire   +4 more sources

Statistical Compressive Sensing of Gaussian Mixture Models

, 2010
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribution and achieving accurate reconstruction on average, is introduced ...
Sapiro, Guillermo, Yu, Guoshen
core   +1 more source

Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere

Advanced Engineering Materials, EarlyView.
In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May, Finn‐Lennard Janthur, Lena Kreie, Michael Müller, Sarah Seffer, Nick Schwarz, Jörg Hermsdorf, Thomas Hassel, Stefan Kaierle, Ludger Overmeyer   +9 more
wiley   +1 more source

Reconstruction of electrons with the Gaussian-sum filter in the CMS tracker at LHC

, 2003
The bremsstrahlung energy loss distribution of electrons propagating in matter is highly non Gaussian. Because the Kalman filter relies solely on Gaussian probability density functions, it might not be an optimal reconstruction algorithm for electron ...
, A Strandlie, Bethe H, CMS Collaboration, CMS Collaboration, R Frühwirth, T Todorov, W Adam   +7 more
core   +4 more sources

Gaussian mixture 3D morphable face model

Pattern Recognition, 2018
A Gaussian Mixture 3DMM (GM-3DMM) which models the global population as a mixture of Gaussian subpopulations.A ESO-based model selection strategy for GM-3DMM fitting.A GM-3DMM-based face recognition framework by fusing multiple experts, which has achieved state-of-the-art result on the Multi-PIE face dataset.A new 3D face dataset, SURREY-JNU ...
Koppen, Paul, Feng, Zhenhua, Kittler, Josef, Awais, Muhammad, Christmas, William, Wu, Xiao-Jun, Yin, He-Feng   +6 more
openaire   +3 more sources

Enhancing Optoelectronic Properties in Phthalocyanine‐Based SURMOFs: Synthesis of ABAB Linkers by Avoiding Statistical Condensation with Tailored Building Blocks

Advanced Functional Materials, EarlyView.
A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer, Mareen Stahlberger, Xiaojing Liu, Yi Luo, Niklas E. Häußermann, Puja Singhvi, Yidong Liu, Olaf Fuhr, Martin Nieger, Lars Heinke, Thomas Heine, Christof Wöll, Stefan Bräse   +12 more
wiley   +1 more source

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

Advanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng, Qian Yao, Yanan Sun, Hongyu Lv, Zhongchao Bai, Guoliang Zhang, Nana Wang, Jian Yang   +7 more
wiley   +1 more source

Evaluation of Value-at-Risk (VaR) using the Gaussian Mixture Models

Research in Statistics
The normality of the distribution of stock returns is one of the basic assumptions in financial mathematics. Empirical studies, however, undermine the validity of this assumption.
Indrė Morkūnaitė, Dmitrij Celov, Remigijus Leipus   +2 more
doaj   +1 more source

Noise adaptive training for subspace Gaussian mixture models [PDF]

, 2013
Noise adaptive training (NAT) is an effective approach to normalise the environmental distortions in the training data. This paper investigates the model-based NAT scheme using joint uncertainty decoding (JUD) for subspace Gaussian mixture models (SGMMs).
Ghoshal, Arnab, Lu, Liang, Renals, Steve
core   +1 more source