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Distributed Averaging for Accuracy Prediction in Networked Systems
Distributed averaging is among the most relevant cooperative control problems, with applications in sensor and robotic networks, distributed signal...
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Community-Based Gossip Algorithm for Distributed Averaging
Most real-world networks tend to organise according to an underlying modular structure, where nodes are relatively more connected with nodes...
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Correspondence Reweighted Translation Averaging
Translation averaging methods use the consistency of input translation directions to solve for camera translations. However, translation directions...
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Complex Cubic Fuzzy Einstein Averaging Aggregation Operators: Application to Decision-making Problems
Different complex fuzzy sets are reported in the literature as the generalizations of fuzzy sets. Complex cubic fuzzy sets are also among those...
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Model averaging for support vector classifier by cross-validation
Support vector classification (SVC) is a well-known statistical technique for classification problems in machine learning and other fields. An...
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Improving translation between English, Assamese bilingual pair with monolingual data, length penalty and model averaging
Notwithstanding the success of Neural Machine Translation (NMT), we have seen that translation of resource poor Indic languages and techniques...
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Dynamic model averaging-based procurement optimization of prefabricated components
With the promotion of construction industrialization, the prefabricated construction market is becoming increasingly competitive. The raw material...
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Faster randomized block sparse Kaczmarz by averaging
The standard randomized sparse Kaczmarz (RSK) method is an algorithm to compute sparse solutions of linear systems of equations and uses sequential...
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Analysis and Prevention of Averaging Attacks Against Obfuscation Protocols
Verification and traceability of supply-chain data is a common example for public analysis of confidential data. Finding the correct balance between...
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Iterate averaging, the Kalman filter, and 3DVAR for linear inverse problems
It has been proposed that classical filtering methods, like the Kalman filter and 3DVAR, can be used to solve linear statistical inverse problems. In...
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Author Attribution of Literary Texts in Polish by the Sequence Averaging
The paper concerns the authorship recognition in a collection of Polish literary texts from the late 19th and early 20th centuries, consisting of 99...
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Complete traceability multimedia fingerprinting codes resistant to averaging attack and adversarial noise with optimal rate
In this paper we consider complete traceability multimedia fingerprinting codes resistant to averaging attacks and adversarial noise. Recently it was...
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An ensemble of optimal smoothing and minima controlled through iterative averaging for speech enhancement under uncontrolled environment
Although better progress has been made in the area of speech enhancement, a significant performance degradation still exists under highly...
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Convergence of Vector-Valued Fuzzy Cellular Automata with Weighted-Averaging Rules
Fuzzy cellular automata are dynamical systems that are continuous counterparts of the usual cellular automata (CA). Compared with the binary case,...
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A statistical significance test for spatio-temporal receptive field estimates obtained using spike-triggered averaging of binary pseudo-random sequences
Spatio-temporal receptive fields (STRF) of visual neurons are often estimated using spike-triggered averaging of binary pseudo-random stimulus...
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An accurate, scalable and verifiable protocol for federated differentially private averaging
Learning from data owned by several parties, as in federated learning, raises challenges regarding the privacy guarantees provided to participants...
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A Novel Weighted Averaging Operator of Linguistic Interval-Valued Intuitionistic Fuzzy Numbers for Cognitively Inspired Decision-Making
An aggregation operator of linguistic interval-valued intuitionistic fuzzy numbers (LIVIFNs) is an important tool for solving cognitively inspired...
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K-means DTW Barycenter Averaging: a clustering analysis of COVID-19 cases and deaths on the Brazilian federal units
A challenge faced while monitoring the COVID-19 pandemic in Brazil is the identification of patterns of incidence and mortality, which can help...
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The generalized modular string averaging procedure and its applications to iterative methods for solving various nonlinear operator theory problems
A modular string averaging procedure (MSA, for short) for a finite number of operators was first introduced by Reich and Zalas in 2016. The MSA...
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State Space Averaging
In this chapter we will extract a linear time invariant (LTI) model for DC-DC converters. DC-DC converters are nonlinear dynamic systems. So an LTI...