A comparative study of replacement algorithms used in the scalable asynchronous cache consistency scheme حسب Haraty, Ramzi A.

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Control of nonlinear dynamical systems using genetic algorithms حسب Al-Duwaish, H.N.

"…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) حسب Mouawad, Amer E.

الموضوعات: "…Trees (Graph theory) -- Data processing…"
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A parallel search tree algorithm for vertex cover on graphical processing units. (c2013) حسب Kabbara, Rashad Karim

الموضوعات: "…Trees (Graph theory) -- Data processing…"
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Attacking ElGamal based cryptographic algorithms using Pollard's rho algorithm حسب El-Kassar, A. N.

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RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. حسب Sebastian Kruse (18595195)

"…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.…"

Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017) حسب Yassine, Mohamad M.

الموضوعات: "…Trees (Graph theory) -- Data processing…"
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Robust design of multimachine power system stabilisers using tabusearch algorithm حسب Abido, M.A.

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ADD. (c2002) حسب Varjabedian, Ralph A.

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A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

"…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. …"

Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization حسب Aly, Islam Adel Helmy

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Optimal multiobjective design of robust power system stabilizers using genetic algorithms حسب Abdel-Magid, Y.L.

"…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 حسب Nasr, Joshua

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An image processing and genetic algorithm-based approach for the detection of melanoma in patients حسب Tokajian, Sima

"…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 حسب Leonel Sousa (19645372)

"…<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. …"

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

"…The proposed algorithm has been tested on three tank system pilot plant and Ain El Kebira Cement rotary kiln process. …"

Fuzzy Logic Based Patients' Monitoring System حسب Al-Dmour, Jumana

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Power-constrained system-on-a-chip test scheduling using a genetic algorithm حسب Harmanani, Haidar M.

"…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 حسب Arafat Rahman (8065562)

"…On the other hand, keystroke dynamics-based systems achieve very high accuracy but have low anti-spoofing capability. …"

Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm حسب Saima Hassan (14918003)

"…The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. Tuning of the consequent part parameters are accomplished using extreme learning machine. …"