بدائل البحث:
testing algorithm » cosine algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elemental » elementary (توسيع البحث), elements (توسيع البحث), element (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elemental » elementary (توسيع البحث), elements (توسيع البحث), element (توسيع البحث)
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181
Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers
منشور في 2020"…Various studies have been conducted regarding this topic; nevertheless, up to now, few studies used the Cuckoo Search-based hyper-heuristic. This paper modifies a classical mathematical model that represents the VRPC, implements and tests an evolutionary Cuckoo Search-based hyper-heuristic, and then compares the results with those of our proposed modified version of the Clarke Wright (CW) algorithm. …"
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182
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183
Topology and parameter estimation in power systems through inverter-based broadband stimulations
منشور في 2015"…It combines and correlates various measurements in order to obtain an accurate snapshot of the power network parameters. To test its capabilities, the performance of this algorithm is evaluated on a small-scale test system.…"
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184
A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System
منشور في 2023"…CEC2019 test suite is also used to perform ablation experiments to reveal the separate contributions of chaotic local search and modified opposition-based learning strategies to the CmOBL-AO algorithm. …"
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185
Analysis of power system stability enhancement via excitation and FACTS-based stabilizers
منشور في 2004"…Power system stability enhancement via excitation and FACTS-based stabilizers is thoroughly investigated in this paper. …"
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186
Analysis and Assessment of STATCOM-Based Damping Stabilizers for Power System Stability Enhancement
منشور في 2005"…Power system stability enhancement via STATCOM-based stabilizers is thoroughly investigated in this paper. …"
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187
Utilization of AI to Predict Shear Strength Parameters of Soil Based on Their Physical Properties
منشور في 2025احصل على النص الكامل
doctoralThesis -
188
Developing a UAE-Based Disputes Prediction Model using Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
189
A heuristics for HTTP traffic identification in measuring user dissimilarity
منشور في 2020"…The study utilizes HTTP request method of GET filtering, to develop a heuristic algorithm to identify user-initiated requests. The algorithm was experimentally tested on a group of users, to ascertain the certainty of identifying user-initiated requests. …"
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190
A PLC based power factor controller for a 3-phase induction motor
منشور في 2000"…This work focuses on the implementation of a laboratory model for a PLC based PFC to improve the power factor of a three-phase induction motor. …"
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191
Design of an innovative and self-adaptive-smart algorithm to investigate the structural integrity of a rail track using Rayleigh waves emitted and sensed by a fully non-contact las...
منشور في 2020"…The functioning of the algorithm was successfully tested by carrying out extensive experiments on a real rail track in the presence of different types of surface and sub-surface defects on its head and web. …"
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192
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…The optimal value of clustering is used in this paper to cluster the data into groups to be able to reduce the computational time additionally. Multiple tree-based machine learning algorithms are tested with parallel computation to evaluate the performance with tunable parameters on a real-world dataset. …"
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193
Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
منشور في 2020"…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. This model can be used in a clinical setting as a decision support system or for public health awareness as an informal risk prediction system. …"
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194
VEGAWES: variational segmentation on whole exome sequencing for copy number detection
منشور في 2015"…We tested this algorithm on synthetic data and 100 Glioblastoma Multiforme primary tumor samples. …"
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195
A multi-objective planning approach for optimal DG allocation for droop based microgrids
منشور في 2021"…The proposed formulation is compared to existing planning algorithms for droop-based microgrids. The re-sults show that including the secondary control region in the optimization problem achieves lower volt-age deviations and no frequency deviations at all demand levels. …"
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196
On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
منشور في 2022"…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …"
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197
On the Optimization of Band Gaps in Periodic Waveguides
منشور في 2025"…<h3 dir="ltr">Purpose</h3><p dir="ltr">This work applies a computational framework for vibration attenuation in periodic structures by combining the established wave and finite element (WFE) method with nature-inspired optimization algorithms. The purpose of this work is to provide a systematic comparison of various nature-inspired algorithms across both low-cost analytical and high-fidelity simulation-driven design problems.…"
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198
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199
Power system stability enhancement via coordinated design of a PSS and an SVC-based controller
منشور في 2003"…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …"
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200
On Equivalent Circuit Model-Based State-of-Charge Estimation for Lithium-Ion Batteries in Electric Vehicles
منشور في 2025"…A third-order equivalent circuit model is employed for the LIB based on electrochemical impedance spectra test results, with model parameters identified using a particle swarm optimization algorithm. …"