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Control of nonlinear dynamical systems using genetic algorithms
Published 1997“…This paper introduces a new method for the control of nonlinear systems using genetic algorithms. The proposed method formulates the nonlinear controller design as an optimization problem and genetic algorithms are used in the optimization process. …”
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A decentralized load balancing strategy for parallel search-three optimization. (c2010)
Published 2010Subjects: “…Trees (Graph theory) -- Data processing…”
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Use of Data Mining Techniques to Detect Fraud in Procurement Sector
Published 2022“…The method used in this research is a classification of models and algorithms used in data mining. …”
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A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)
Published 2013Subjects: “…Trees (Graph theory) -- Data processing…”
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RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.
Published 2020“…We show that our optimizer can perform tasks more than one order of magnitude faster when using multiple platforms than when using a single platform.…”
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Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017)
Published 2017Subjects: “…Trees (Graph theory) -- Data processing…”
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Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm
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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
Published 2024“…The proposed algorithm has been tested on three tank system pilot plant and Ain El Kebira Cement rotary kiln process. …”
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A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems
Published 2020“…Thus, this paper proposes a novel Interval Gaussian Process Regression (IGPR)-based Random Forest (RF) technique (IGPR-RF) for diagnosing uncertain WEC systems. In the proposed IGPR-RF technique, the effective interval-valued nonlinear statistical features are extracted and selected using the IGPR model and then fed to the RF algorithm for fault classification purposes. …”
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Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization
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Optimal multiobjective design of robust power system stabilizers using genetic algorithms
Published 2003“…Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. …”
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Estimating Construction Project Duration Using a Machine Learning Algorithm
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients
Published 2018“…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…”
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Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge
Published 2021“…<p dir="ltr">Technological trends alongside with the unprecedented growth of the data generated by devices sparsely distributed, most of them mobile devices, cannot be supported by traditional approaches and processing systems. …”
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Power-constrained system-on-a-chip test scheduling using a genetic algorithm
Published 2006“…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. The method minimizes the overall test application time of a system-on-a-chip through efficient and compact test schedules. …”
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Published 2021“…On the other hand, keystroke dynamics-based systems achieve very high accuracy but have low anti-spoofing capability. …”