Results 21 to 30 of about 31,391 (258)

Network Traffic Identification Based on Improved EM Algorithm

IEEE Access
With the continuous increase and complexity of network traffic, traditional network traffic recognition technology is facing numerous difficulties, especially in dealing with outlier data and improving recognition accuracy.
Hao Cui, Linjie Liang, Jinghui Wang
doaj   +1 more source

Joint user activity and signal detection for massive multiple-input multiple-output

Dianxin kexue, 2021
In uplink grant-free massive multiple-input multiple-output (mMIMO) systems, the performance of available methods for joint user activity and signal detection deteriorates when the correlation of receiving antennas or the number of active devices ...
Xiaoqun SONG, Ming JIN, Zhongjie JIA
doaj   +2 more sources

Robust Identification Method for LPV ARX Systems and its Application to a Mechanical Unit

IEEE Access, 2019
This paper introduces a robust identification solution for the linear parameter varying Autoregressive Exogenous systems with outlier-contaminated outputs.
Xin Liu, Tingting Zhang, Xiaofeng Liu
doaj   +1 more source

An EM algorithm for GMM parameter estimation in the presence of censored and dropped data with potential application for indoor positioning

ICT Express, 2019
In this paper, a specific type of incomplete data in Wi-Fi fingerprinting based indoor positioning systems (WF-IPS) is presented: censored and dropped mixture data. For fitting this type of data, a censored and dropped Gaussian Mixture Model (CD-GMM) was
Trung Kien Vu, Manh Kha Hoang, Hung Lan Le   +2 more
doaj   +1 more source

Mixture modeling of hospital charge in Zimbabwe

Heliyon, 2023
Objective: Zimbabwe is one of the poorest countries in the world, just emerging from a broken health care system. The objective is to figure out variables affecting hospital charge for Zimbabwe.
Nyasha Mangava, Saralees Nadarajah
doaj   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

A distributed expectation maximization-principal component analysis monitoring scheme for the large-scale industrial process with incomplete information

International Journal of Distributed Sensor Networks, 2019
Large-scale process monitoring has become a challenging issue due to the integration of sub-systems or subprocesses, leading to numerous variables with complex relationship and potential missing information in modern industrial processes.
Xuanyue Wang, Xu Yang, Jian Huang, Xianzhong Chen   +3 more
doaj   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

An Improved Expectation–Maximization Bayesian Algorithm for GWAS

Mathematics
Genome-wide association studies (GWASs) are flexible and comprehensive tools for identifying single nucleotide polymorphisms (SNPs) associated with complex traits or diseases.
Ganwen Zhang, Jianini Zhao, Jieru Wang, Guo Lin, Lin Li, Fengfei Ban, Meiting Zhu, Yangjun Wen, Jin Zhang   +8 more
doaj   +1 more source

Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models

IEEE Access, 2023
In this paper a Maximum likelihood estimation algorithm for Finite Impulse Response Errors-in-Variables systems is developed. We consider that the noise-free input signal is Gaussian-mixture distributed.
Angel L. Cedeno, Rafael Orellana, Rodrigo Carvajal, Boris I. Godoy, Juan C. Aguero   +4 more
doaj   +1 more source