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using algorithm » cosine algorithm (Expand Search)
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641
Brain Source Localization in the Presence of Leadfield Perturbations
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doctoralThesis -
642
Multidimensional Gains for Stochastic Approximation
Published 2019“…The proposed algorithms here aim for per-iteration minimization of the mean square estimate error. …”
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643
On the complexity of multi-parameterized cluster editing
Published 2017“…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …”
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644
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645
Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
Published 2007“…In this paper, we develop a subspace system identification algorithm for the errors-in-variables (EIV) model subject to observation noise with outliers. …”
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646
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
Published 2019“…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. …”
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647
High-order parametrization of the hypergeometric-Meijer approximants
Published 2023“…To solve this problem, we formulate an equivalent (order by order) linear set of equations which is easy to solve in an appropriate time using normal PCs. We also show that such extension of the hypergeometric resummation algorithm is able to employ non-perturbative information like strong-coupling and large-order asymptotic data which are always used to accelerate the convergence. …”
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648
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649
Severity-Based Prioritized Processing of Packets with Application in VANETs
Published 2019“…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …”
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650
PERF solutions for distributed query optimization. (c1999)
Published 1999Get full text
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masterThesis -
651
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652
Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)
Published 2015“…Looking at the historical data of students, fuzzy logic can be used to develop rules based on these data. …”
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conferenceObject -
653
Computation of conformal invariants
Published 2020“…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …”
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article -
654
Computation of conformal invariants
Published 2021“…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …”
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656
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Published 2022“…This study will provide useful references for a wide range of future studies for developing accurate and practical wind power forecasting models.…”
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657
Dataset built for Arabic Sentiment Analysis
Published 2016“…Consequently, in this proposal, we considered sentiment investigation of Arabic as the key focus and support the researchers in this field by developing a dataset from online networking website, to be specific Youtube, Twitter, Facebook, Instagram and Keek, due to wide use of these by Arabic Community to share their opinions and reviews. …”
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658
Applications of fast fourier transform in the integrity evaluation of deep foundations
Published 2016“…This paper reports on an innovative and comprehensive method proposed for the quality control of drilled shafts that overcomes several limitations of conventional methods. The method is developed and validated using experimental data, and is based on applying the fast Fourier transform mapping algorithm on data obtained from cross-hole sonic logging. …”
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659
Video features with impact on user quality of experience
Published 2021“…The feature evaluation is performed first using forward elimination feature selection algorithm, and second using decision tree classification to extract and sort the features that highly affect the subjective QoE. …”
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conferenceObject -
660
Neural network-based failure rate prediction for De Havilland Dash-8 tires
Published 2006“…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables and the output is the failure rate of the tires. …”
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