Results 11 to 20 of about 138,082 (310)
Time-series analysis with smoothed Convolutional Neural Network
Journal of Big Data, 2022 CNN originates from image processing and is not commonly known as a forecasting technique in time-series analysis which depends on the quality of input data. One of the methods to improve the quality is by smoothing the data.
Aji Prasetya Wibawa +5 more
doaj +1 more source
Results in Physics, 2020 With the wide civil applications of low-cost Global Navigation Satellite System (GNSS) receiver, precise positioning based on low-cost receiver attracted extensive attention.
Houxiang Zhou +5 more
doaj +1 more source
Application of meshless methods for pistol bullets modelling [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2021 The paper presents an analysis of applicability of two meshless methods for pistol bullets modelling based on an example of a 9 mm Parabellum. The studies included the following methods: Smoothed Particle Hydrodynamics (SPH) method and Smoothed Particle ...
Piotr Kędzierski, Julia Watorowska
doaj +1 more source
Application of Smoothed Particle Hydrodynamics to Structural Cable Analysis
Applied Sciences, 2020 In this study, a numerical model is proposed for the analysis of a simply supported structural cable. Smoothed particle hydrodynamics (SPH)—a mesh-free, Lagrangian method with advantages for analysis of highly deformable bodies—is utilized to model a ...
A. Ersin Dinçer, Abdullah Demir
doaj +1 more source
Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal
Mathematics, 2021 Motivated by mapping adverse artifactual events caused by body movements in electroencephalographic (EEG) signals, we present a functional independent component analysis based on the spectral decomposition of the kurtosis operator of a smoothed principal
Marc Vidal +2 more
doaj +1 more source
Smoothed analysis of tensor decompositions [PDF]
Proceedings of the forty-sixth annual ACM symposium on Theory of computing, 2014 Low rank tensor decompositions are a powerful tool for learning generative models, and uniqueness results give them a significant advantage over matrix decomposition methods. However, tensors pose significant algorithmic challenges and tensors analogs of much of the matrix algebra toolkit are unlikely to exist because of hardness results.
Aditya Bhaskara +3 more
openaire +2 more sources
Smoothed analysis of balancing networks [PDF]
Random Structures & Algorithms, 2009 AbstractIn a balancing network each processor has an initial collection of unit‐size jobs (tokens) and in each round, pairs of processors connected by balancers split their load as evenly as possible. An excess token (if any) is placed according to some predefined rule. As it turns out, this rule crucially affects the performance of the network.
Tobias Friedrich 0001 +2 more
openaire +5 more sources
Smoothed Analysis of Dynamic Networks [PDF]
Distributed Computing, 2015 We generalize the technique of smoothed analysis to distributed algorithms in dynamic network models. Whereas standard smoothed analysis studies the impact of small random perturbations of input values on algorithm performance metrics, dynamic graph smoothed analysis studies the impact of random perturbations of the underlying changing network graph ...
Michael Dinitz +3 more
openaire +2 more sources
Revista da Sociedade Brasileira de Medicina Tropical, 2021 INTRODUCTION: Dengue, chikungunya, and Zika are a growing global health problem. This study analyzed the spatial distribution of dengue, chikungunya, and Zika cases in São Luís, Maranhão, from 2015 to 2016 and investigated the association between socio ...
Silmery da Silva Brito Costa +9 more
doaj +1 more source
Smoothed Analysis on Connected Graphs [PDF]
SIAM Journal on Discrete Mathematics, 2015 Submitted for journal ...
Krivelevich, Michael +2 more
openaire +4 more sources