Results 11 to 20 of about 64,847 (264)
Use of Correlated Data for Nonparametric Prediction of a Spatial Target Variable
Mathematics, 2020 The kriging methodology can be applied to predict the value of a spatial variable at an unsampled location, from the available spatial data. Furthermore, additional information from secondary variables, correlated with the target one, can be included in ...
Pilar García-Soidán +1 more
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RESEARCH OF LOW-BANDWIDTH RADIONETWORKS QOS PARAMETERS
Information and Telecommunication Sciences, 2020 Background. This article describes the research of QoS parameters in low-bandwidth communication networks based on VHF (Very High Frequency) radio stations produced by Aselsan (Turkey) and Harris (USA). Objective. The aim of the paper is the research of data transfer delay, jitter of data transfer delay, packet losses and analysis of the possibility
Strelkovskaya, Irina, Zolotukhin, Roman
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IEEE Access, 2023 This paper presents a critical review of modern 4G, 4G/5G, and 5G antennas, which employ PIN diodes and Varactors for polarization or frequency reconfiguration.
Razan Alhamad +2 more
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Mathematics, 2021 The commonly used Geographically Weighted Regression (GWR) fitting method for a spatial varying coefficient model is to select a bandwidth h for the geographic location (u, v), and assign the same weight to the two dimensions.
Xijian Hu +4 more
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Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning [PDF]
IEEE Transactions on Wireless Communications, 2020 To leverage data and computation capabilities of mobile devices, machine learning algorithms are deployed at the network edge for training artificial intelligence (AI) models, resulting in the new paradigm of edge learning. In this paper, we consider the framework of partitioned edge learning for iteratively training a large-scale model using many ...
Dingzhu Wen, Mehdi Bennis, Kaibin Huang
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Sensors, 2019 In industrial production, soft sensors play very important roles in ensuring product quality and production safety. Traditionally, global modeling methods, which use historical data to construct models offline, are often used to develop soft sensors ...
Minglun Ren, Yueli Song, Wei Chu
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Automatic high-bandwidth calibration and reconstruction of arbitrarily sampled parallel MRI. [PDF]
PLoS ONE, 2014 Today, many MRI reconstruction techniques exist for undersampled MRI data. Regularization-based techniques inspired by compressed sensing allow for the reconstruction of undersampled data that would lead to an ill-posed reconstruction problem.
Jan Aelterman +6 more
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Peningkatan Bandwidth dan Gain Antena Mikrostrip Leaky Wave dengan Multi Slot untuk Aplikasi WLAN
Jurnal Elkomika, 2022 ABSTRAK Penelitian ini menggunakan antena microstrip leaky wave dengan menambahkan dua slot, yaitu E-slot dan U-slot ganda atau multislot pada frekuensi 6 GHz (5,925 GHz-6,425 GHz) untuk aplikasi WLAN.
MUHAMAD WAHYU IQBAL +2 more
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Materials & Design, 2023 Low frequency is a difficult problem in noise control. How to design new lightweight materials or structures to achieve low-frequency noise reduction is of utmost importance.
Wang Peng +4 more
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Bandwidth Prediction based on Nu-Support Vector Regression and Parallel Hybrid Particle Swarm Optimization [PDF]
International Journal of Computational Intelligence Systems, 2010 This paper addresses the problem of generating multi-step-ahead bandwidth prediction. Variation of bandwidth is modeled as a Nu-Support Vector Regression (Nu-SVR) procedure. A parallel procedure is proposed to hybridize constant and binary Particle Swarm
Liang Hu, Xilong Che, Xiaochun Cheng
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