بدائل البحث:
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
deer algorithm » search algorithm (توسيع البحث)
element » elements (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
deer algorithm » search algorithm (توسيع البحث)
element » elements (توسيع البحث)
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181
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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182
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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article -
183
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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article -
184
Utilization of AI to Predict Shear Strength Parameters of Soil Based on Their Physical Properties
منشور في 2025احصل على النص الكامل
doctoralThesis -
185
Developing a UAE-Based Disputes Prediction Model using Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
186
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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187
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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188
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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189
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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190
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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191
Correlation Clustering with Overlaps
منشور في 2020"…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
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masterThesis -
192
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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193
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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194
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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195
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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article -
196
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. …"
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197
New Dimensions for Physical Layer Secret Key Generation: Excursion Lengths-Based Key Generation
منشور في 2024"…The practical PLSKG algorithms (level-crossing algorithms) extract a secret key by analyzing the channel samples and assigning bit sequences to the channel samples lying in different quantization regions. …"
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198
Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
منشور في 2025"…After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …"
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199
Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique
منشور في 2024"…In this study, we harnessed the capabilities of a four-channel, wearable EEG device that captured brain activity data during two distinct CL states: Baseline (representing a non-CL, resting state) and the Stroop Test (a CL-inducing state). The primary objective of this study is to estimate the CL index through an innovative approach that employs a hybrid, cluster-based, unsupervised learning technique seamlessly integrated with a 1D Convolutional Neural Network (CNN) architecture tailored for automated feature extraction, rather than conventional supervised algorithms, which facilitated in the acquisition of latent complex patterns without the need for manual categorization. …"
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200
Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on Least-Trimmed-Squares
منشور في 2020"…As a result, a new statistical test to check the existence of outliers which is based on the Kalman filter and smoother has been formulated. …"
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article