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A Review for the Genetic Algorithm and the Red Deer Algorithm Applications
Published 2021Subjects: Get full text
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A Review of the Genetic Algorithm and JAYA Algorithm Applications
Published 2022Subjects: Get full text
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Scatter search algorithm for the cross-dock door assignment problem
Published 2014Get full text
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EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review
Published 2023“…The development of novel sensors for EEG recording, digital signal processing algorithms, feature engineering, and detection algorithms increases the need for efficient diagnostic systems. …”
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Practical Considerations in Frequency Diverse Array Radar Signal Processing
Published 2021Get full text
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …”
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Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection
Published 2019Subjects: -
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New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications
Published 2019Subjects: -
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A reduced model for phase-change problems with radiation using simplified PN approximations
Published 2025“…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …”
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Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Subjects: Get full text
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A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model
Published 2021“…This paper describes a novel approach for RR estimation using motion artifact correction and machine learning (ML) models with the PPG signal features. Feature selection algorithms were used to reduce computational complexity and the chance of overfitting. …”
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